Note: the module "R" cannot be unloaded because it was not loaded. WARNING: ignoring environment value of R_HOME R Under development (unstable) (2026-03-09 r89583) -- "Unsuffered Consequences" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > (cargs <- commandArgs(trailingOnly=TRUE)) [1] "/scratch/th798/data.table-revdeps/2026-03-10/deps.csv" [2] "841" [3] "/scratch/th798/data.table-revdeps/2026-03-10/data.table_release_1.18.2.1.tar.gz" [4] "/scratch/th798/data.table-revdeps/2026-03-10/data.table_master_1.18.99.82799044ec710cafd89267042ded8b39d6ced265.tar.gz" > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "9", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2026-03-10/deps.csv", task.str = "841", release = "/scratch/th798/data.table-revdeps/2026-03-10/data.table_release_1.18.2.1.tar.gz", master = "/scratch/th798/data.table-revdeps/2026-03-10/data.table_master_1.18.99.82799044ec710cafd89267042ded8b39d6ced265.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/27261227/R-devel/841" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache Failed with error: 'there is no package called 'R.cache'' > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (deps.row <- deps.df[task.id,]) Package task.id Version 841 marginaleffects 841 0.32.0 > (rev.dep <- deps.row$Package) [1] "marginaleffects" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/27261227/R-devel/841/library" [2] "/projects/genomic-ml/R/R-devel/library" > local.CRAN <- "/projects/genomic-ml/CRAN" > cran.url <- paste0("file://", local.CRAN) > #this should be in ~/.Rprofile too. > options(repos=c(CRAN=cran.url)) > print(Sys.time()) [1] "2026-03-10 01:20:46 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/27261227/R-devel/841/library' (as 'lib' is unspecified) Warning: dependency 'Icens' is not available also installing the dependencies 'progressr', 'SQUAREM', 'fracdiff', 'urca', 'proxy', 'diagram', 'lava', 'Deriv', 'forecast', 'microbenchmark', 'doFuture', 'e1071', 'lmom', 'mnormt', 'pbivnorm', 'nanonext', 'PRROC', 'mclust', 'prabclus', 'diptest', 'kernlab', 'sys', 'lhs', 'miniUI', 'litedown', 'igraph', 'prodlim', 'rematch', 'doBy', 'plyr', 'bit', 'utf8', 'inline', 'QuickJSR', 'ggridges', 'Brobdingnag', 'stringi', 'labeling', 'crosstalk', 'htmlwidgets', 'promises', 'cachem', 'fastmap', 'httpuv', 'mime', 'otel', 'sourcetools', 'lazyeval', 'iBreakDown', 'ingredients', 'kernelshap', 'perm', 'MLEcens', 'rbibutils', 'gld', 'brio', 'pkgload', 'praise', 'ps', 'waldo', 'iterators', 'zigg', 'clipr', 'crayon', 'vroom', 'tzdb', 'operator.tools', 'lavaan', 'shape', 'pan', 'jomo', 'lgr', 'mirai', 'mlbench', 'mlr3measures', 'palmerpenguins', 'uuid', 'fpc', 'stabm', 'spacefillr', 'viridis', 'sass', 'fansi', 'askpass', 'lobstr', 'GPfit', 'expm', 'pracma', 'pcaPP', 'warp', 'colourpicker', 'dygraphs', 'gtools', 'markdown', 'shinythemes', 'threejs', 'xts', 'DiceDesign', 'sfd', 'clock', 'gower', 'ipred', 'timeDate', 'blob', 'gargle', 'cellranger', 'ids', 'rematch2', 'timechange', 'progress', 'selectr', 'lmtest', 'zoo', 'Rcpp', 'RcppArmadillo', 'pbkrtest', 'reshape2', 'reformulas', 'assertthat', 'bit64', 'glue', 'R6', 'tidyselect', 'vctrs', 'cpp11', 'datawizard', 'pillar', 'profmem', 'flexmix', 'modeltools', 'DBI', 'enrichwith', 'statmod', 'nleqslv', 'rstan', 'loo', 'bayesplot', 'bridgesampling', 'matrixStats', 'coda', 'abind', 'extraoperators', 'cli', 'lifecycle', 'stringr', 'scales', 'chk', 'DT', 'shiny', 'shinyjs', 'gtable', 'gridExtra', 'memoise', 'digest', 'jsonlite', 'rex', 'httr', 'scoringRules', 'DALEX', 'interval', 'maxLik', 'Rdpack', 'estimability', 'PairedData', 'RcppEigen', 'dreamerr', 'stringmagic', 'deSolve', 'mstate', 'muhaz', 'quadprog', 'ggparty', 'cowplot', 'testthat', 'fontBitstreamVera', 'fontLiberation', 'globals', 'listenv', 'parallelly', 'foreach', 'gamlss.data', 'isoband', 'S7', 'TMB', 'Rfast', 'SuppDists', 'forcats', 'hms', 'readr', 'rprojroot', 'plotfunctions', 'xml2', 'viridisLite', 'htmltools', 'minqa', 'nloptr', 'formula.tools', 'prediction', 'RcppProgress', 'memisc', 'ape', 'corpcor', 'tensorA', 'cubature', 'nonnest2', 'CompQuadForm', 'FNN', 'ranger', 'glmnet', 'mitml', 'mitools', 'mlr3', 'bbotk', 'mlr3cluster', 'mlr3data', 'mlr3filters', 'mlr3fselect', 'mlr3hyperband', 'mlr3inferr', 'mlr3learners', 'mlr3mbo', 'mlr3misc', 'mlr3pipelines', 'mlr3tuning', 'mlr3tuningspaces', 'mlr3viz', 'paradox', 'performance', 'tables', 'TH.data', 'mvnfast', 'rlemon', 'ucminf', 'hardhat', 'prettyunits', 'sparsevctrs', 'libcoin', 'inum', 'farver', 'bslib', 'callr', 'desc', 'downlit', 'fontawesome', 'fs', 'httr2', 'openssl', 'ragg', 'whisker', 'bdsmatrix', 'butcher', 'furrr', 'tune', 'yardstick', 'SparseM', 'MatrixModels', 'randomForest', 'RColorBrewer', 'miscTools', 'msm', 'plotrix', 'optimx', 'curl', 'pkgbuild', 'sessioninfo', 'xopen', 'RcppTOML', 'png', 'rappdirs', 'evaluate', 'jquerylib', 'tinytex', 'xfun', 'Hmisc', 'htmlTable', 'colorspace', 'fit.models', 'rrcov', 'DEoptimR', 'xtable', 'fastGHQuad', 'slider', 'shinystan', 'RcppParallel', 'StanHeaders', 'bbmle', 'lsoda', 'VGAM', 'commonmark', 'hunspell', 'base64enc', 'textshaping', 'pkgconfig', 'dials', 'infer', 'modeldata', 'recipes', 'tailor', 'workflowsets', 'dbplyr', 'dtplyr', 'googledrive', 'googlesheets4', 'lubridate', 'modelr', 'readxl', 'reprex', 'rvest', 'diffobj', 'magick', 'modelenv', 'highr', 'later', 'processx', 'backports', 'checkmate', 'generics', 'Formula', 'insight', 'rlang', 'AER', 'Amelia', 'afex', 'aod', 'arrow', 'bayestestR', 'bench', 'betareg', 'BH', 'bife', 'biglm', 'blme', 'brglm2', 'brms', 'brmsmargins', 'broom', 'car', 'carData', 'causaldata', 'clarify', 'cjoint', 'cobalt', 'collapse', 'conflicted', 'countrycode', 'covr', 'crch', 'DALEXtra', 'DCchoice', 'dbarts', 'DirichletReg', 'distributional', 'dfidx', 'dplyr', 'emmeans', 'equivalence', 'estimatr', 'fixest', 'flexsurv', 'fmeffects', 'fontquiver', 'future', 'future.apply', 'fwb', 'gam', 'gamlss', 'gamlss.dist', 'geepack', 'ggdist', 'ggokabeito', 'ggplot2', 'ggrepel', 'glmmTMB', 'glmtoolbox', 'glmx', 'haven', 'here', 'itsadug', 'ivreg', 'kableExtra', 'lme4', 'lmerTest', 'logistf', 'magrittr', 'margins', 'MatchIt', 'mclogit', 'MCMCglmm', 'mhurdle', 'missRanger', 'mice', 'miceadds', 'mlogit', 'mlr3verse', 'modelbased', 'modelsummary', 'multcomp', 'mvgam', 'mvtnorm', 'nanoparquet', 'numDeriv', 'nycflights13', 'optmatch', 'ordbetareg', 'ordinal', 'parameters', 'parsnip', 'partykit', 'patchwork', 'pkgdown', 'phylolm', 'pbapply', 'plm', 'polspline', 'posterior', 'probably', 'pscl', 'purrr', 'quantreg', 'quantregForest', 'Rchoice', 'REndo', 'rcmdcheck', 'Rdatasets', 'remotes', 'reticulate', 'rmarkdown', 'rms', 'robust', 'robustbase', 'robustlmm', 'rsample', 'rstanarm', 'rstantools', 'rstpm2', 'rstudioapi', 'rsvg', 'sampleSelection', 'sandwich', 'scam', 'spelling', 'speedglm', 'survey', 'svglite', 'systemfit', 'systemfonts', 'tibble', 'tictoc', 'tidymodels', 'tidyr', 'tidyverse', 'tinysnapshot', 'tinytable', 'tinytest', 'titanic', 'truncreg', 'tsModel', 'withr', 'workflows', 'yaml', 'xgboost', 'altdoc', 'knitr', 'quarto' * installing *source* package 'SQUAREM' ... ** this is package 'SQUAREM' version '2021.1' ** package 'SQUAREM' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SQUAREM) * installing *source* package 'fracdiff' ... ** this is package 'fracdiff' version '1.5-3' ** package 'fracdiff' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdcore.c -o fdcore.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdgam.c -o fdgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdhess.c -o fdhess.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdmin.c -o fdmin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdsim.c -o fdsim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pmult.c -o pmult.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fracdiff.so fdcore.o fdgam.o fdhess.o fdmin.o fdsim.o init.o pmult.o -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-fracdiff/00new/fracdiff/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fracdiff) * installing *source* package 'urca' ... ** this is package 'urca' version '1.3-4' ** package 'urca' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c UnitRootMacKinnon.f -o UnitRootMacKinnon.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c urca_init.c -o urca_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o urca.so UnitRootMacKinnon.o urca_init.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-urca/00new/urca/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (urca) * installing *source* package 'proxy' ... ** this is package 'proxy' version '0.4-29' ** package 'proxy' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c apply.c -o apply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arrayIndex.c -o arrayIndex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distance.c -o distance.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dll.c -o dll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o proxy.so apply.o arrayIndex.o distance.o dll.o util.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-proxy/00new/proxy/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (proxy) * installing *source* package 'Deriv' ... ** this is package 'Deriv' version '4.2.0' ** package 'Deriv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Deriv) * installing *source* package 'microbenchmark' ... ** this is package 'microbenchmark' version '1.5.0' ** package 'microbenchmark' successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for stdint.h... (cached) yes checking for stdlib.h... (cached) yes checking for sys/time.h... yes checking for uint64_t... yes checking for error_at_line... yes checking for mach_absolute_time... no checking for library containing clock_gettime... none required checking for best clockid_t to use with clock_gettime... CLOCK_MONOTONIC_RAW configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -D_POSIX_C_SOURCE=200112L -DHAVE_CONFIG_H -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c do_nothing.c -o do_nothing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -D_POSIX_C_SOURCE=200112L -DHAVE_CONFIG_H -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -D_POSIX_C_SOURCE=200112L -DHAVE_CONFIG_H -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nanotimer.c -o nanotimer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o microbenchmark.so do_nothing.o init.o nanotimer.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-microbenchmark/00new/microbenchmark/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (microbenchmark) * installing *source* package 'lmom' ... ** this is package 'lmom' version '3.2' ** package 'lmom' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c d1mach.f -o d1mach.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqagie.f -o dqagie.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqagse.f -o dqagse.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqelg.f -o dqelg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqk15i.f -o dqk15i.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqk21.f -o dqk21.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqpsrt.f -o dqpsrt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lmomc.c -o lmomc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmoments.f -o lmoments.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c samlm.f -o samlm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lmom.so d1mach.o dqagie.o dqagse.o dqelg.o dqk15i.o dqk21.o dqpsrt.o init.o lmomc.o lmoments.o samlm.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lmom/00new/lmom/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lmom) * installing *source* package 'mnormt' ... ** this is package 'mnormt' version '2.1.2' ** package 'mnormt' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c biv-nt.f -o biv-nt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mnormt_init.c -o mnormt_init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rtmng.f -o rtmng.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sadmvnt.f -o sadmvnt.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tvpack.f -o tvpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mnormt.so biv-nt.o mnormt_init.o rtmng.o sadmvnt.o tvpack.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mnormt/00new/mnormt/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mnormt) * installing *source* package 'pbivnorm' ... ** this is package 'pbivnorm' version '0.6.0' ** package 'pbivnorm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pbivnorm.f -o pbivnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pbivnorm.so pbivnorm.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-pbivnorm/00new/pbivnorm/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbivnorm) * installing *source* package 'nanonext' ... ** this is package 'nanonext' version '1.8.1' ** package 'nanonext' successfully unpacked and MD5 sums checked ** using staged installation Existing 'libmbedtls' >= 2.5.0 not found Compiling 'libmbedtls' from source ... -- The C compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Check if compiler accepts -pthread -- Check if compiler accepts -pthread - yes -- Found Threads: TRUE -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/27261227/RtmpUZR3n1/R.INSTALL27ff505b9a5b90/nanonext/nano-build [ 1%] Building C object library/CMakeFiles/mbedcrypto.dir/aes.c.o [ 2%] Building C object library/CMakeFiles/mbedcrypto.dir/aesni.c.o [ 4%] Building C object library/CMakeFiles/mbedcrypto.dir/aesce.c.o [ 5%] Building C object library/CMakeFiles/mbedcrypto.dir/asn1parse.c.o [ 7%] Building C object library/CMakeFiles/mbedcrypto.dir/asn1write.c.o [ 8%] Building C object library/CMakeFiles/mbedcrypto.dir/base64.c.o [ 9%] Building C object library/CMakeFiles/mbedcrypto.dir/bignum.c.o [ 11%] Building C object library/CMakeFiles/mbedcrypto.dir/bignum_core.c.o [ 12%] Building C object library/CMakeFiles/mbedcrypto.dir/block_cipher.c.o [ 14%] Building C object library/CMakeFiles/mbedcrypto.dir/ccm.c.o [ 15%] Building C object library/CMakeFiles/mbedcrypto.dir/chacha20.c.o [ 16%] Building C object library/CMakeFiles/mbedcrypto.dir/chachapoly.c.o [ 18%] Building C object library/CMakeFiles/mbedcrypto.dir/cipher.c.o [ 19%] Building C object library/CMakeFiles/mbedcrypto.dir/cipher_wrap.c.o [ 21%] Building C object library/CMakeFiles/mbedcrypto.dir/constant_time.c.o [ 22%] Building C object library/CMakeFiles/mbedcrypto.dir/cmac.c.o [ 23%] Building C object library/CMakeFiles/mbedcrypto.dir/ctr_drbg.c.o [ 25%] Building C object library/CMakeFiles/mbedcrypto.dir/des.c.o [ 26%] Building C object library/CMakeFiles/mbedcrypto.dir/ecdh.c.o [ 28%] Building C object library/CMakeFiles/mbedcrypto.dir/ecdsa.c.o [ 29%] Building C object library/CMakeFiles/mbedcrypto.dir/ecp.c.o [ 30%] Building C object library/CMakeFiles/mbedcrypto.dir/ecp_curves.c.o [ 32%] Building C object library/CMakeFiles/mbedcrypto.dir/entropy.c.o [ 33%] Building C object library/CMakeFiles/mbedcrypto.dir/entropy_poll.c.o [ 35%] Building C object library/CMakeFiles/mbedcrypto.dir/error.c.o [ 36%] Building C object library/CMakeFiles/mbedcrypto.dir/gcm.c.o [ 38%] Building C object library/CMakeFiles/mbedcrypto.dir/hkdf.c.o [ 39%] Building C object library/CMakeFiles/mbedcrypto.dir/md.c.o [ 40%] Building C object library/CMakeFiles/mbedcrypto.dir/md5.c.o [ 42%] Building C object library/CMakeFiles/mbedcrypto.dir/oid.c.o [ 43%] Building C object library/CMakeFiles/mbedcrypto.dir/pem.c.o [ 45%] Building C object library/CMakeFiles/mbedcrypto.dir/pk.c.o [ 46%] Building C object library/CMakeFiles/mbedcrypto.dir/pk_ecc.c.o [ 47%] Building C object library/CMakeFiles/mbedcrypto.dir/pk_wrap.c.o [ 49%] Building C object library/CMakeFiles/mbedcrypto.dir/pkcs12.c.o [ 50%] Building C object library/CMakeFiles/mbedcrypto.dir/pkcs5.c.o [ 52%] Building C object library/CMakeFiles/mbedcrypto.dir/pkparse.c.o [ 53%] Building C object library/CMakeFiles/mbedcrypto.dir/pkwrite.c.o [ 54%] Building C object library/CMakeFiles/mbedcrypto.dir/platform.c.o [ 56%] Building C object library/CMakeFiles/mbedcrypto.dir/platform_util.c.o [ 57%] Building C object library/CMakeFiles/mbedcrypto.dir/poly1305.c.o [ 59%] Building C object library/CMakeFiles/mbedcrypto.dir/rsa.c.o [ 60%] Building C object library/CMakeFiles/mbedcrypto.dir/rsa_alt_helpers.c.o [ 61%] Building C object library/CMakeFiles/mbedcrypto.dir/sha1.c.o [ 63%] Building C object library/CMakeFiles/mbedcrypto.dir/sha256.c.o [ 64%] Building C object library/CMakeFiles/mbedcrypto.dir/sha512.c.o [ 66%] Building C object library/CMakeFiles/mbedcrypto.dir/threading.c.o [ 67%] Building C object library/CMakeFiles/mbedcrypto.dir/timing.c.o [ 69%] Building C object library/CMakeFiles/mbedcrypto.dir/version.c.o [ 70%] Linking C static library libmbedcrypto.a [ 70%] Built target mbedcrypto [ 71%] Building C object library/CMakeFiles/mbedx509.dir/x509.c.o [ 73%] Building C object library/CMakeFiles/mbedx509.dir/x509_create.c.o [ 74%] Building C object library/CMakeFiles/mbedx509.dir/x509_crl.c.o [ 76%] Building C object library/CMakeFiles/mbedx509.dir/x509_crt.c.o [ 77%] Building C object library/CMakeFiles/mbedx509.dir/x509_csr.c.o [ 78%] Building C object library/CMakeFiles/mbedx509.dir/x509write.c.o [ 80%] Building C object library/CMakeFiles/mbedx509.dir/x509write_crt.c.o [ 81%] Building C object library/CMakeFiles/mbedx509.dir/x509write_csr.c.o [ 83%] Linking C static library libmbedx509.a [ 83%] Built target mbedx509 [ 84%] Building C object library/CMakeFiles/mbedtls.dir/net_sockets.c.o [ 85%] Building C object library/CMakeFiles/mbedtls.dir/ssl_cache.c.o [ 87%] Building C object library/CMakeFiles/mbedtls.dir/ssl_ciphersuites.c.o [ 88%] Building C object library/CMakeFiles/mbedtls.dir/ssl_client.c.o [ 90%] Building C object library/CMakeFiles/mbedtls.dir/ssl_cookie.c.o [ 91%] Building C object library/CMakeFiles/mbedtls.dir/ssl_debug_helpers_generated.c.o [ 92%] Building C object library/CMakeFiles/mbedtls.dir/ssl_msg.c.o [ 94%] Building C object library/CMakeFiles/mbedtls.dir/ssl_ticket.c.o [ 95%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls.c.o [ 97%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls12_client.c.o [ 98%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls12_server.c.o [100%] Linking C static library libmbedtls.a [100%] Built target mbedtls Install the project... -- Install configuration: "Release" Existing 'libnng' >= 1.9.0 not found Compiling 'libnng' from source ... -- The C compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Configuring for NNG version 1.11.0 -- Performing Test NNG_HIDDEN_VISIBILITY -- Performing Test NNG_HIDDEN_VISIBILITY - Success -- Looking for strlcpy -- Looking for strlcpy - not found -- Looking for strnlen -- Looking for strnlen - found -- Looking for strcasecmp -- Looking for strcasecmp - found -- Looking for strncasecmp -- Looking for strncasecmp - found -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Looking for lockf -- Looking for lockf - found -- Looking for flock -- Looking for flock - found -- Looking for getrandom -- Looking for getrandom - found -- Looking for arc4random_buf -- Looking for arc4random_buf - not found -- Looking for clock_gettime -- Looking for clock_gettime - found -- Looking for sem_wait in pthread -- Looking for sem_wait in pthread - found -- Looking for pthread_atfork in pthread -- Looking for pthread_atfork in pthread - found -- Looking for pthread_set_name_np in pthread -- Looking for pthread_set_name_np in pthread - not found -- Looking for pthread_setname_np in pthread -- Looking for pthread_setname_np in pthread - found -- Looking for gethostbyname in nsl -- Looking for gethostbyname in nsl - found -- Looking for socket in socket -- Looking for socket in socket - not found -- Looking for __atomic_load_1 in atomic -- Looking for __atomic_load_1 in atomic - found -- Looking for AF_UNIX -- Looking for AF_UNIX - found -- Looking for backtrace_symbols_fd -- Looking for backtrace_symbols_fd - found -- Performing Test NNG_HAVE_MSG_CONTROL -- Performing Test NNG_HAVE_MSG_CONTROL - Success -- Looking for eventfd -- Looking for eventfd - found -- Looking for kqueue -- Looking for kqueue - not found -- Looking for port_create -- Looking for port_create - not found -- Looking for epoll_create -- Looking for epoll_create - found -- Looking for epoll_create1 -- Looking for epoll_create1 - found -- Looking for getpeereid -- Looking for getpeereid - not found -- Looking for SO_PEERCRED -- Looking for SO_PEERCRED - found -- Performing Test NNG_HAVE_SOCKPEERCRED -- Performing Test NNG_HAVE_SOCKPEERCRED - Failed -- Looking for LOCAL_PEERCRED -- Looking for LOCAL_PEERCRED - not found -- Looking for LOCAL_PEERPID -- Looking for LOCAL_PEERPID - not found -- Looking for getpeerucred -- Looking for getpeerucred - not found -- Looking for atomic_flag_test_and_set -- Looking for atomic_flag_test_and_set - found -- Looking for socketpair -- Looking for socketpair - found -- Found mbedTLS: /tmp/th798/27261227/RtmpUZR3n1/R.INSTALL27ff505b9a5b90/nanonext/nano-install/lib/libmbedtls.a (found version "3.6.5") -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/27261227/RtmpUZR3n1/R.INSTALL27ff505b9a5b90/nanonext/nano-build [ 0%] Building C object CMakeFiles/nng.dir/src/nng.c.o [ 2%] Building C object CMakeFiles/nng.dir/src/core/aio.c.o [ 2%] Building C object CMakeFiles/nng.dir/src/core/device.c.o [ 4%] Building C object CMakeFiles/nng.dir/src/core/dialer.c.o [ 4%] Building C object CMakeFiles/nng.dir/src/core/sockfd.c.o [ 6%] Building C object CMakeFiles/nng.dir/src/core/file.c.o [ 8%] Building C object CMakeFiles/nng.dir/src/core/idhash.c.o [ 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CMakeFiles/nng.dir/src/supplemental/http/http_public.c.o [ 86%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_client.c.o [ 86%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_chunk.c.o [ 88%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_conn.c.o [ 88%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_msg.c.o [ 90%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_schemes.c.o [ 90%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_server.c.o [ 92%] Building C object CMakeFiles/nng.dir/src/supplemental/sha1/sha1.c.o [ 94%] Building C object CMakeFiles/nng.dir/src/supplemental/tls/mbedtls/tls.c.o [ 94%] Building C object CMakeFiles/nng.dir/src/supplemental/tls/tls_common.c.o [ 96%] Building C object CMakeFiles/nng.dir/src/supplemental/util/options.c.o [ 96%] Building C object CMakeFiles/nng.dir/src/supplemental/util/platform.c.o [ 98%] Building C object CMakeFiles/nng.dir/src/supplemental/websocket/websocket.c.o [100%] Linking C static library libnng.a [100%] Built target nng Install the project... -- Install configuration: "Release" ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aio.c -o aio.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c comms.c -o comms.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c core.c -o core.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dispatcher.c -o dispatcher.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ncurl.c -o ncurl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c net.c -o net.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c proto.c -o proto.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c server.c -o server.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sync.c -o sync.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.c -o thread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tls.c -o tls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nanonext.so aio.o comms.o core.o dispatcher.o init.o ncurl.o net.o proto.o server.o sync.o thread.o tls.o utils.o ../nano-install/lib/libnng.a ../nano-install/lib/libmbedtls.a ../nano-install/lib/libmbedx509.a ../nano-install/lib/libmbedcrypto.a installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-nanonext/00new/nanonext/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nanonext) * installing *source* package 'mclust' ... ** this is package 'mclust' version '6.1.2' ** package 'mclust' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mclust.f -o mclust.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mclust2.f -o mclust2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c util.f -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mclust.so init.o mclust.o mclust2.o util.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mclust/00new/mclust/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mclust) * installing *source* package 'diptest' ... ** this is package 'diptest' version '0.77-2' ** package 'diptest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dip.c -o dip.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o diptest.so dip.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-diptest/00new/diptest/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diptest) * installing *source* package 'kernlab' ... ** this is package 'kernlab' version '0.9-33' ** package 'kernlab' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brweight.cpp -o brweight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ctable.cpp -o ctable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cweight.cpp -o cweight.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dbreakpt.c -o dbreakpt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dcauchy.c -o dcauchy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dgpnrm.c -o dgpnrm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dgpstep.c -o dgpstep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dprecond.c -o dprecond.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dprsrch.c -o dprsrch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dspcg.c -o dspcg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtron.c -o dtron.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtrpcg.c -o dtrpcg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtrqsol.c -o dtrqsol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c esa.cpp -o esa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expdecayweight.cpp -o expdecayweight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inductionsort.cpp -o inductionsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kspectrumweight.cpp -o kspectrumweight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lcp.cpp -o lcp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc.c -o misc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c msufsort.cpp -o msufsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c solvebqp.c -o solvebqp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringk.c -o stringk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringkernel.cpp -o stringkernel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c svm.cpp -o svm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wkasailcp.cpp -o wkasailcp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wmsufsort.cpp -o wmsufsort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o kernlab.so brweight.o ctable.o cweight.o dbreakpt.o dcauchy.o dgpnrm.o dgpstep.o dprecond.o dprsrch.o dspcg.o dtron.o dtrpcg.o dtrqsol.o esa.o expdecayweight.o inductionsort.o init.o kspectrumweight.o lcp.o misc.o msufsort.o solvebqp.o stringk.o stringkernel.o svm.o wkasailcp.o wmsufsort.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-kernlab/00new/kernlab/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'pattern' in package 'kernlab' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kernlab) * installing *source* package 'sys' ... ** this is package 'sys' version '3.4.3' ** package 'sys' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c exec.c -o exec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sys.so exec.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-sys/00new/sys/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sys) * installing *source* package 'rematch' ... ** this is package 'rematch' version '2.0.0' ** package 'rematch' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rematch) * installing *source* package 'bit' ... ** this is package 'bit' version '4.6.0' ** package 'bit' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attrutil.c -o attrutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bit.c -o bit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chunkutil.c -o chunkutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clone.c -o clone.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integerutil.c -o integerutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c merge.c -o merge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rle.c -o rle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sort.c -o sort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bit.so attrutil.o bit.o chunkutil.o clone.o init.o integerutil.o merge.o rle.o sort.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-bit/00new/bit/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bit) * installing *source* package 'utf8' ... ** this is package 'utf8' version '1.2.6' ** package 'utf8' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c as_utf8.c -o as_utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bytes.c -o bytes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c context.c -o context.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c render.c -o render.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c render_table.c -o render_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string.c -o string.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c text.c -o text.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_encode.c -o utf8_encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_format.c -o utf8_format.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_normalize.c -o utf8_normalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_valid.c -o utf8_valid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_width.c -o utf8_width.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/array.c -o utf8lite/src/array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/char.c -o utf8lite/src/char.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/encode.c -o utf8lite/src/encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/error.c -o utf8lite/src/error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/escape.c -o utf8lite/src/escape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/graph.c -o utf8lite/src/graph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/graphscan.c -o utf8lite/src/graphscan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/normalize.c -o utf8lite/src/normalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/render.c -o utf8lite/src/render.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/text.c -o utf8lite/src/text.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/textassign.c -o utf8lite/src/textassign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/textiter.c -o utf8lite/src/textiter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/textmap.c -o utf8lite/src/textmap.o ar rcs libcutf8lite.a utf8lite/src/array.o utf8lite/src/char.o utf8lite/src/encode.o utf8lite/src/error.o utf8lite/src/escape.o utf8lite/src/graph.o utf8lite/src/graphscan.o utf8lite/src/normalize.o utf8lite/src/render.o utf8lite/src/text.o utf8lite/src/textassign.o utf8lite/src/textiter.o utf8lite/src/textmap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o utf8.so as_utf8.o bytes.o context.o init.o render.o render_table.o string.o text.o utf8_encode.o utf8_format.o utf8_normalize.o utf8_valid.o utf8_width.o util.o -L. -lcutf8lite installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-utf8/00new/utf8/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (utf8) * installing *source* package 'inline' ... ** this is package 'inline' version '0.3.21' ** package 'inline' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (inline) * installing *source* package 'QuickJSR' ... ** this is package 'QuickJSR' version '1.9.0' ** package 'QuickJSR' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I"include" -I"quickjs" -D_GNU_SOURCE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -funsigned-char -std=gnu11 -c libquickjs.c /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"include" -I"quickjs" -D_GNU_SOURCE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickjsr.cpp -o quickjsr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"include" -I"quickjs" -D_GNU_SOURCE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o QuickJSR.so quickjsr.o init.o libquickjs.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-QuickJSR/00new/QuickJSR/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (QuickJSR) * installing *source* package 'Brobdingnag' ... ** this is package 'Brobdingnag' version '1.2-9' ** package 'Brobdingnag' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'diag' in package 'Brobdingnag' Creating a new generic function for 't' in package 'Brobdingnag' ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Brobdingnag) * installing *source* package 'stringi' ... ** this is package 'stringi' version '1.8.7' ** package 'stringi' successfully unpacked and MD5 sums checked ** using staged installation checking for R_HOME... /home/th798/R/R-devel checking for R... /home/th798/R/R-devel/bin/R checking for endianness... little checking for cat... /usr/bin/cat checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 option to enable C++11 features... -std=gnu++11 checking whether the C++ compiler supports the 'long long' type... yes checking whether the compiler implements namespaces... yes checking whether the compiler supports the Standard Template Library... yes checking whether std::map is available... yes checking for pkg-config... /home/th798/.conda/envs/emacs1/bin/pkg-config checking with 'pkg-config' for the system ICU4C (icu-i18n icu-uc)... 58.2 checking for ICU4C >= 61... no *** ICU4C 58.2 has been detected *** Minimal requirements, i.e., ICU4C >= 61, are not met *** Trying with 'standard' fallback flags checking whether an ICU4C-based project can be built... no *** This version of ICU4C cannot be used. *** Using the ICU 74 bundle that comes with 'stringi'. checking whether we may compile src/icu74/common/putil.cpp... yes checking whether we may compile src/icu74/i18n/number_affixutils.cpp... yes checking whether alignof(std::max_align_t) is available... yes checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for elf.h... yes checking whether the ICU data library is available... icu74/data/icudt74l.dat.xz exists configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/uconfig_local.h config.status: creating src/install.libs.R *** stringi configure summary: ICU_FOUND=0 ICUDT_DIR=icu74/data ICU_BUNDLE_VERSION=74 ICUDT_ENDIANNESS=little STRINGI_CXXSTD= STRINGI_CXXFLAGS= -fpic STRINGI_CPPFLAGS=-I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL STRINGI_LDFLAGS= STRINGI_LIBS= *** Compiler settings used: CXX=/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 LD=/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 CXXFLAGS=-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include CPPFLAGS=-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include LDFLAGS= LIBS= ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_brkiter.cpp -o stri_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_callables.cpp -o stri_callables.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_collator.cpp -o stri_collator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_common.cpp -o stri_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_compare.cpp -o stri_compare.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_base.cpp -o stri_container_base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_bytesearch.cpp -o stri_container_bytesearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_listint.cpp -o stri_container_listint.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_listraw.cpp -o stri_container_listraw.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_listutf8.cpp -o stri_container_listutf8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_regex.cpp -o stri_container_regex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_usearch.cpp -o stri_container_usearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_utf16.cpp -o stri_container_utf16.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_utf8.cpp -o stri_container_utf8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_utf8_indexable.cpp -o stri_container_utf8_indexable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_encoding_conversion.cpp -o stri_encoding_conversion.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_encoding_detection.cpp -o stri_encoding_detection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_encoding_management.cpp -o stri_encoding_management.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_escape.cpp -o stri_escape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_exception.cpp -o stri_exception.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_ICU_settings.cpp -o stri_ICU_settings.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_join.cpp -o stri_join.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_length.cpp -o stri_length.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_pad.cpp -o stri_pad.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_prepare_arg.cpp -o stri_prepare_arg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_random.cpp -o stri_random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_reverse.cpp -o stri_reverse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_count.cpp -o stri_search_class_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_detect.cpp -o stri_search_class_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_extract.cpp -o stri_search_class_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_locate.cpp -o stri_search_class_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_replace.cpp -o stri_search_class_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_split.cpp -o stri_search_class_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_startsendswith.cpp -o stri_search_class_startsendswith.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_subset.cpp -o stri_search_class_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_trim.cpp -o stri_search_class_trim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_common.cpp -o stri_search_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_count.cpp -o stri_search_coll_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_detect.cpp -o stri_search_coll_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_extract.cpp -o stri_search_coll_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_locate.cpp -o stri_search_coll_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_replace.cpp -o stri_search_coll_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_split.cpp -o stri_search_coll_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_startsendswith.cpp -o stri_search_coll_startsendswith.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_subset.cpp -o stri_search_coll_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_count.cpp -o stri_search_boundaries_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_extract.cpp -o stri_search_boundaries_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_locate.cpp -o stri_search_boundaries_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_split.cpp -o stri_search_boundaries_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_count.cpp -o stri_search_fixed_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_detect.cpp -o stri_search_fixed_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_extract.cpp -o stri_search_fixed_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_locate.cpp -o stri_search_fixed_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_replace.cpp -o stri_search_fixed_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_split.cpp -o stri_search_fixed_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_subset.cpp -o stri_search_fixed_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_startsendswith.cpp -o stri_search_fixed_startsendswith.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_in.cpp -o stri_search_in.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_other_split.cpp -o stri_search_other_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_count.cpp -o stri_search_regex_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_detect.cpp -o stri_search_regex_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_extract.cpp -o stri_search_regex_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_locate.cpp -o stri_search_regex_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_match.cpp -o stri_search_regex_match.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_replace.cpp -o stri_search_regex_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_split.cpp -o stri_search_regex_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_subset.cpp -o stri_search_regex_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_sort.cpp -o stri_sort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_sprintf.cpp -o stri_sprintf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_stats.cpp -o stri_stats.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_string8.cpp -o stri_string8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_stringi.cpp -o stri_stringi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_sub.cpp -o stri_sub.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_test.cpp -o stri_test.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_zone.cpp -o stri_time_zone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_calendar.cpp -o stri_time_calendar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_symbols.cpp -o stri_time_symbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_format.cpp -o stri_time_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_casemap.cpp -o stri_trans_casemap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_other.cpp -o stri_trans_other.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_normalization.cpp -o stri_trans_normalization.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_transliterate.cpp -o stri_trans_transliterate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_ucnv.cpp -o stri_ucnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_uloc.cpp -o stri_uloc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_utils.cpp -o stri_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_wrap.cpp -o stri_wrap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/appendable.cpp -o icu74/common/appendable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bmpset.cpp -o icu74/common/bmpset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/brkeng.cpp -o icu74/common/brkeng.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/brkiter.cpp -o icu74/common/brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytesinkutil.cpp -o icu74/common/bytesinkutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestream.cpp -o icu74/common/bytestream.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestrie.cpp -o icu74/common/bytestrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestriebuilder.cpp -o icu74/common/bytestriebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestrieiterator.cpp -o icu74/common/bytestrieiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/caniter.cpp -o icu74/common/caniter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/characterproperties.cpp -o icu74/common/characterproperties.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/chariter.cpp -o icu74/common/chariter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/charstr.cpp -o icu74/common/charstr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cmemory.cpp -o icu74/common/cmemory.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cstr.cpp -o icu74/common/cstr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cstring.cpp -o icu74/common/cstring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cwchar.cpp -o icu74/common/cwchar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/dictbe.cpp -o icu74/common/dictbe.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/dictionarydata.cpp -o icu74/common/dictionarydata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/dtintrv.cpp -o icu74/common/dtintrv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/edits.cpp -o icu74/common/edits.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/emojiprops.cpp -o icu74/common/emojiprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/errorcode.cpp -o icu74/common/errorcode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/filteredbrk.cpp -o icu74/common/filteredbrk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/filterednormalizer2.cpp -o icu74/common/filterednormalizer2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/icudataver.cpp -o icu74/common/icudataver.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/icuplug.cpp -o icu74/common/icuplug.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/loadednormalizer2impl.cpp -o icu74/common/loadednormalizer2impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/localebuilder.cpp -o icu74/common/localebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/localematcher.cpp -o icu74/common/localematcher.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/localeprioritylist.cpp -o icu74/common/localeprioritylist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locavailable.cpp -o icu74/common/locavailable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locbased.cpp -o icu74/common/locbased.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locdispnames.cpp -o icu74/common/locdispnames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locdistance.cpp -o icu74/common/locdistance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locdspnm.cpp -o icu74/common/locdspnm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locid.cpp -o icu74/common/locid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/loclikely.cpp -o icu74/common/loclikely.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/loclikelysubtags.cpp -o icu74/common/loclikelysubtags.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locmap.cpp -o icu74/common/locmap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locresdata.cpp -o icu74/common/locresdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locutil.cpp -o icu74/common/locutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/lsr.cpp -o icu74/common/lsr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/lstmbe.cpp -o icu74/common/lstmbe.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/messagepattern.cpp -o icu74/common/messagepattern.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/mlbe.cpp -o icu74/common/mlbe.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/normalizer2.cpp -o icu74/common/normalizer2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/normalizer2impl.cpp -o icu74/common/normalizer2impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/normlzr.cpp -o icu74/common/normlzr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/parsepos.cpp -o icu74/common/parsepos.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/patternprops.cpp -o icu74/common/patternprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/pluralmap.cpp -o icu74/common/pluralmap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/propname.cpp -o icu74/common/propname.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/propsvec.cpp -o icu74/common/propsvec.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/punycode.cpp -o icu74/common/punycode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/putil.cpp -o icu74/common/putil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbi_cache.cpp -o icu74/common/rbbi_cache.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbi.cpp -o icu74/common/rbbi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbidata.cpp -o icu74/common/rbbidata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbinode.cpp -o icu74/common/rbbinode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbirb.cpp -o icu74/common/rbbirb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbiscan.cpp -o icu74/common/rbbiscan.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbisetb.cpp -o icu74/common/rbbisetb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbistbl.cpp -o icu74/common/rbbistbl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbitblb.cpp -o icu74/common/rbbitblb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/resbund_cnv.cpp -o icu74/common/resbund_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/resbund.cpp -o icu74/common/resbund.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/resource.cpp -o icu74/common/resource.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/restrace.cpp -o icu74/common/restrace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ruleiter.cpp -o icu74/common/ruleiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/schriter.cpp -o icu74/common/schriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/serv.cpp -o icu74/common/serv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servlk.cpp -o icu74/common/servlk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servlkf.cpp -o icu74/common/servlkf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servls.cpp -o icu74/common/servls.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servnotf.cpp -o icu74/common/servnotf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servrbf.cpp -o icu74/common/servrbf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servslkf.cpp -o icu74/common/servslkf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/sharedobject.cpp -o icu74/common/sharedobject.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/simpleformatter.cpp -o icu74/common/simpleformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/static_unicode_sets.cpp -o icu74/common/static_unicode_sets.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/stringpiece.cpp -o icu74/common/stringpiece.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/stringtriebuilder.cpp -o icu74/common/stringtriebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uarrsort.cpp -o icu74/common/uarrsort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidi_props.cpp -o icu74/common/ubidi_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidi.cpp -o icu74/common/ubidi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidiln.cpp -o icu74/common/ubidiln.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubiditransform.cpp -o icu74/common/ubiditransform.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidiwrt.cpp -o icu74/common/ubidiwrt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubrk.cpp -o icu74/common/ubrk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucase.cpp -o icu74/common/ucase.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucasemap_titlecase_brkiter.cpp -o icu74/common/ucasemap_titlecase_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucasemap.cpp -o icu74/common/ucasemap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucat.cpp -o icu74/common/ucat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uchar.cpp -o icu74/common/uchar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucharstrie.cpp -o icu74/common/ucharstrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucharstriebuilder.cpp -o icu74/common/ucharstriebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucharstrieiterator.cpp -o icu74/common/ucharstrieiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uchriter.cpp -o icu74/common/uchriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucln_cmn.cpp -o icu74/common/ucln_cmn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucmndata.cpp -o icu74/common/ucmndata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_bld.cpp -o icu74/common/ucnv_bld.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_cb.cpp -o icu74/common/ucnv_cb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_cnv.cpp -o icu74/common/ucnv_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_ct.cpp -o icu74/common/ucnv_ct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_err.cpp -o icu74/common/ucnv_err.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_ext.cpp -o icu74/common/ucnv_ext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_io.cpp -o icu74/common/ucnv_io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_lmb.cpp -o icu74/common/ucnv_lmb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_set.cpp -o icu74/common/ucnv_set.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u16.cpp -o icu74/common/ucnv_u16.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u32.cpp -o icu74/common/ucnv_u32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u7.cpp -o icu74/common/ucnv_u7.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u8.cpp -o icu74/common/ucnv_u8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv.cpp -o icu74/common/ucnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv2022.cpp -o icu74/common/ucnv2022.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvbocu.cpp -o icu74/common/ucnvbocu.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvdisp.cpp -o icu74/common/ucnvdisp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvhz.cpp -o icu74/common/ucnvhz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvisci.cpp -o icu74/common/ucnvisci.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvlat1.cpp -o icu74/common/ucnvlat1.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvmbcs.cpp -o icu74/common/ucnvmbcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvscsu.cpp -o icu74/common/ucnvscsu.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvsel.cpp -o icu74/common/ucnvsel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucol_swp.cpp -o icu74/common/ucol_swp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucptrie.cpp -o icu74/common/ucptrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucurr.cpp -o icu74/common/ucurr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/udata.cpp -o icu74/common/udata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/udatamem.cpp -o icu74/common/udatamem.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/udataswp.cpp -o icu74/common/udataswp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uenum.cpp -o icu74/common/uenum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uhash_us.cpp -o icu74/common/uhash_us.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uhash.cpp -o icu74/common/uhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uidna.cpp -o icu74/common/uidna.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uinit.cpp -o icu74/common/uinit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uinvchar.cpp -o icu74/common/uinvchar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uiter.cpp -o icu74/common/uiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ulist.cpp -o icu74/common/ulist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uloc_keytype.cpp -o icu74/common/uloc_keytype.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uloc_tag.cpp -o icu74/common/uloc_tag.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uloc.cpp -o icu74/common/uloc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ulocale.cpp -o icu74/common/ulocale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ulocbuilder.cpp -o icu74/common/ulocbuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umapfile.cpp -o icu74/common/umapfile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umath.cpp -o icu74/common/umath.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umutablecptrie.cpp -o icu74/common/umutablecptrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umutex.cpp -o icu74/common/umutex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unames.cpp -o icu74/common/unames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unifiedcache.cpp -o icu74/common/unifiedcache.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unifilt.cpp -o icu74/common/unifilt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unifunct.cpp -o icu74/common/unifunct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uniset_closure.cpp -o icu74/common/uniset_closure.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uniset_props.cpp -o icu74/common/uniset_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uniset.cpp -o icu74/common/uniset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unisetspan.cpp -o icu74/common/unisetspan.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_case_locale.cpp -o icu74/common/unistr_case_locale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_case.cpp -o icu74/common/unistr_case.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_cnv.cpp -o icu74/common/unistr_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_props.cpp -o icu74/common/unistr_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_titlecase_brkiter.cpp -o icu74/common/unistr_titlecase_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr.cpp -o icu74/common/unistr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unorm.cpp -o icu74/common/unorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unormcmp.cpp -o icu74/common/unormcmp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uobject.cpp -o icu74/common/uobject.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uprops.cpp -o icu74/common/uprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ures_cnv.cpp -o icu74/common/ures_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uresbund.cpp -o icu74/common/uresbund.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uresdata.cpp -o icu74/common/uresdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/usc_impl.cpp -o icu74/common/usc_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uscript_props.cpp -o icu74/common/uscript_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uscript.cpp -o icu74/common/uscript.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uset_props.cpp -o icu74/common/uset_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uset.cpp -o icu74/common/uset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/usetiter.cpp -o icu74/common/usetiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ushape.cpp -o icu74/common/ushape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/usprep.cpp -o icu74/common/usprep.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustack.cpp -o icu74/common/ustack.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustr_cnv.cpp -o icu74/common/ustr_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustr_titlecase_brkiter.cpp -o icu74/common/ustr_titlecase_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustr_wcs.cpp -o icu74/common/ustr_wcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrcase_locale.cpp -o icu74/common/ustrcase_locale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrcase.cpp -o icu74/common/ustrcase.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrenum.cpp -o icu74/common/ustrenum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrfmt.cpp -o icu74/common/ustrfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustring.cpp -o icu74/common/ustring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrtrns.cpp -o icu74/common/ustrtrns.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utext.cpp -o icu74/common/utext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utf_impl.cpp -o icu74/common/utf_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/util_props.cpp -o icu74/common/util_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/util.cpp -o icu74/common/util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrace.cpp -o icu74/common/utrace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie_swap.cpp -o icu74/common/utrie_swap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie.cpp -o icu74/common/utrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie2_builder.cpp -o icu74/common/utrie2_builder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie2.cpp -o icu74/common/utrie2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uts46.cpp -o icu74/common/uts46.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utypes.cpp -o icu74/common/utypes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uvector.cpp -o icu74/common/uvector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uvectr32.cpp -o icu74/common/uvectr32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uvectr64.cpp -o icu74/common/uvectr64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/wintz.cpp -o icu74/common/wintz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/alphaindex.cpp -o icu74/i18n/alphaindex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/anytrans.cpp -o icu74/i18n/anytrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/astro.cpp -o icu74/i18n/astro.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/basictz.cpp -o icu74/i18n/basictz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/bocsu.cpp -o icu74/i18n/bocsu.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/brktrans.cpp -o icu74/i18n/brktrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/buddhcal.cpp -o icu74/i18n/buddhcal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/calendar.cpp -o icu74/i18n/calendar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/casetrn.cpp -o icu74/i18n/casetrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/cecal.cpp -o icu74/i18n/cecal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/chnsecal.cpp -o icu74/i18n/chnsecal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/choicfmt.cpp -o icu74/i18n/choicfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/coleitr.cpp -o icu74/i18n/coleitr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/coll.cpp -o icu74/i18n/coll.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collation.cpp -o icu74/i18n/collation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationbuilder.cpp -o icu74/i18n/collationbuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationcompare.cpp -o icu74/i18n/collationcompare.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdata.cpp -o icu74/i18n/collationdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdatabuilder.cpp -o icu74/i18n/collationdatabuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdatareader.cpp -o icu74/i18n/collationdatareader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdatawriter.cpp -o icu74/i18n/collationdatawriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationfastlatin.cpp -o icu74/i18n/collationfastlatin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationfastlatinbuilder.cpp -o icu74/i18n/collationfastlatinbuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationfcd.cpp -o icu74/i18n/collationfcd.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationiterator.cpp -o icu74/i18n/collationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationkeys.cpp -o icu74/i18n/collationkeys.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationroot.cpp -o icu74/i18n/collationroot.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationrootelements.cpp -o icu74/i18n/collationrootelements.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationruleparser.cpp -o icu74/i18n/collationruleparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationsets.cpp -o icu74/i18n/collationsets.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationsettings.cpp -o icu74/i18n/collationsettings.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationtailoring.cpp -o icu74/i18n/collationtailoring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationweights.cpp -o icu74/i18n/collationweights.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/compactdecimalformat.cpp -o icu74/i18n/compactdecimalformat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/coptccal.cpp -o icu74/i18n/coptccal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/cpdtrans.cpp -o icu74/i18n/cpdtrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csdetect.cpp -o icu74/i18n/csdetect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csmatch.cpp -o icu74/i18n/csmatch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csr2022.cpp -o icu74/i18n/csr2022.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrecog.cpp -o icu74/i18n/csrecog.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrmbcs.cpp -o icu74/i18n/csrmbcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrsbcs.cpp -o icu74/i18n/csrsbcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrucode.cpp -o icu74/i18n/csrucode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrutf8.cpp -o icu74/i18n/csrutf8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/curramt.cpp -o icu74/i18n/curramt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/currfmt.cpp -o icu74/i18n/currfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/currpinf.cpp -o icu74/i18n/currpinf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/currunit.cpp -o icu74/i18n/currunit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dangical.cpp -o icu74/i18n/dangical.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/datefmt.cpp -o icu74/i18n/datefmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dayperiodrules.cpp -o icu74/i18n/dayperiodrules.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dcfmtsym.cpp -o icu74/i18n/dcfmtsym.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/decContext.cpp -o icu74/i18n/decContext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/decimfmt.cpp -o icu74/i18n/decimfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/decNumber.cpp -o icu74/i18n/decNumber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/displayoptions.cpp -o icu74/i18n/displayoptions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-bignum-dtoa.cpp -o icu74/i18n/double-conversion-bignum-dtoa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-bignum.cpp -o icu74/i18n/double-conversion-bignum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-cached-powers.cpp -o icu74/i18n/double-conversion-cached-powers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-double-to-string.cpp -o icu74/i18n/double-conversion-double-to-string.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-fast-dtoa.cpp -o icu74/i18n/double-conversion-fast-dtoa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-string-to-double.cpp -o icu74/i18n/double-conversion-string-to-double.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-strtod.cpp -o icu74/i18n/double-conversion-strtod.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtfmtsym.cpp -o icu74/i18n/dtfmtsym.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtitvfmt.cpp -o icu74/i18n/dtitvfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtitvinf.cpp -o icu74/i18n/dtitvinf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtptngen.cpp -o icu74/i18n/dtptngen.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtrule.cpp -o icu74/i18n/dtrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/erarules.cpp -o icu74/i18n/erarules.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/esctrn.cpp -o icu74/i18n/esctrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ethpccal.cpp -o icu74/i18n/ethpccal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fmtable_cnv.cpp -o icu74/i18n/fmtable_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fmtable.cpp -o icu74/i18n/fmtable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/format.cpp -o icu74/i18n/format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formatted_string_builder.cpp -o icu74/i18n/formatted_string_builder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formattedval_iterimpl.cpp -o icu74/i18n/formattedval_iterimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formattedval_sbimpl.cpp -o icu74/i18n/formattedval_sbimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formattedvalue.cpp -o icu74/i18n/formattedvalue.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fphdlimp.cpp -o icu74/i18n/fphdlimp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fpositer.cpp -o icu74/i18n/fpositer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/funcrepl.cpp -o icu74/i18n/funcrepl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/gender.cpp -o icu74/i18n/gender.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/gregocal.cpp -o icu74/i18n/gregocal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/gregoimp.cpp -o icu74/i18n/gregoimp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/hebrwcal.cpp -o icu74/i18n/hebrwcal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/indiancal.cpp -o icu74/i18n/indiancal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/inputext.cpp -o icu74/i18n/inputext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/islamcal.cpp -o icu74/i18n/islamcal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/iso8601cal.cpp -o icu74/i18n/iso8601cal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/japancal.cpp -o icu74/i18n/japancal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/listformatter.cpp -o icu74/i18n/listformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measfmt.cpp -o icu74/i18n/measfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measunit_extra.cpp -o icu74/i18n/measunit_extra.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measunit.cpp -o icu74/i18n/measunit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measure.cpp -o icu74/i18n/measure.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/msgfmt.cpp -o icu74/i18n/msgfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/name2uni.cpp -o icu74/i18n/name2uni.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nfrs.cpp -o icu74/i18n/nfrs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nfrule.cpp -o icu74/i18n/nfrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nfsubs.cpp -o icu74/i18n/nfsubs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nortrans.cpp -o icu74/i18n/nortrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nultrans.cpp -o icu74/i18n/nultrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_affixutils.cpp -o icu74/i18n/number_affixutils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_asformat.cpp -o icu74/i18n/number_asformat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_capi.cpp -o icu74/i18n/number_capi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_compact.cpp -o icu74/i18n/number_compact.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_currencysymbols.cpp -o icu74/i18n/number_currencysymbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_decimalquantity.cpp -o icu74/i18n/number_decimalquantity.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_decimfmtprops.cpp -o icu74/i18n/number_decimfmtprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_fluent.cpp -o icu74/i18n/number_fluent.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_formatimpl.cpp -o icu74/i18n/number_formatimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_grouping.cpp -o icu74/i18n/number_grouping.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_integerwidth.cpp -o icu74/i18n/number_integerwidth.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_longnames.cpp -o icu74/i18n/number_longnames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_mapper.cpp -o icu74/i18n/number_mapper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_modifiers.cpp -o icu74/i18n/number_modifiers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_multiplier.cpp -o icu74/i18n/number_multiplier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_notation.cpp -o icu74/i18n/number_notation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_output.cpp -o icu74/i18n/number_output.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_padding.cpp -o icu74/i18n/number_padding.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_patternmodifier.cpp -o icu74/i18n/number_patternmodifier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_patternstring.cpp -o icu74/i18n/number_patternstring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_rounding.cpp -o icu74/i18n/number_rounding.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_scientific.cpp -o icu74/i18n/number_scientific.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_simple.cpp -o icu74/i18n/number_simple.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_skeletons.cpp -o icu74/i18n/number_skeletons.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_symbolswrapper.cpp -o icu74/i18n/number_symbolswrapper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_usageprefs.cpp -o icu74/i18n/number_usageprefs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_utils.cpp -o icu74/i18n/number_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numfmt.cpp -o icu74/i18n/numfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_affixes.cpp -o icu74/i18n/numparse_affixes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_compositions.cpp -o icu74/i18n/numparse_compositions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_currency.cpp -o icu74/i18n/numparse_currency.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_decimal.cpp -o icu74/i18n/numparse_decimal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_impl.cpp -o icu74/i18n/numparse_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_parsednumber.cpp -o icu74/i18n/numparse_parsednumber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_scientific.cpp -o icu74/i18n/numparse_scientific.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_symbols.cpp -o icu74/i18n/numparse_symbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_validators.cpp -o icu74/i18n/numparse_validators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numrange_capi.cpp -o icu74/i18n/numrange_capi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numrange_fluent.cpp -o icu74/i18n/numrange_fluent.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numrange_impl.cpp -o icu74/i18n/numrange_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numsys.cpp -o icu74/i18n/numsys.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/olsontz.cpp -o icu74/i18n/olsontz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/persncal.cpp -o icu74/i18n/persncal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/pluralranges.cpp -o icu74/i18n/pluralranges.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/plurfmt.cpp -o icu74/i18n/plurfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/plurrule.cpp -o icu74/i18n/plurrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/quant.cpp -o icu74/i18n/quant.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/quantityformatter.cpp -o icu74/i18n/quantityformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbnf.cpp -o icu74/i18n/rbnf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_data.cpp -o icu74/i18n/rbt_data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_pars.cpp -o icu74/i18n/rbt_pars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_rule.cpp -o icu74/i18n/rbt_rule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_set.cpp -o icu74/i18n/rbt_set.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt.cpp -o icu74/i18n/rbt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbtz.cpp -o icu74/i18n/rbtz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regexcmp.cpp -o icu74/i18n/regexcmp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regeximp.cpp -o icu74/i18n/regeximp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regexst.cpp -o icu74/i18n/regexst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regextxt.cpp -o icu74/i18n/regextxt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/region.cpp -o icu74/i18n/region.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/reldatefmt.cpp -o icu74/i18n/reldatefmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/reldtfmt.cpp -o icu74/i18n/reldtfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rematch.cpp -o icu74/i18n/rematch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/remtrans.cpp -o icu74/i18n/remtrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/repattrn.cpp -o icu74/i18n/repattrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rulebasedcollator.cpp -o icu74/i18n/rulebasedcollator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/scientificnumberformatter.cpp -o icu74/i18n/scientificnumberformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/scriptset.cpp -o icu74/i18n/scriptset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/search.cpp -o icu74/i18n/search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/selfmt.cpp -o icu74/i18n/selfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/sharedbreakiterator.cpp -o icu74/i18n/sharedbreakiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/simpletz.cpp -o icu74/i18n/simpletz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/smpdtfmt.cpp -o icu74/i18n/smpdtfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/smpdtfst.cpp -o icu74/i18n/smpdtfst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/sortkey.cpp -o icu74/i18n/sortkey.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/standardplural.cpp -o icu74/i18n/standardplural.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/string_segment.cpp -o icu74/i18n/string_segment.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/strmatch.cpp -o icu74/i18n/strmatch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/strrepl.cpp -o icu74/i18n/strrepl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/stsearch.cpp -o icu74/i18n/stsearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/taiwncal.cpp -o icu74/i18n/taiwncal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/timezone.cpp -o icu74/i18n/timezone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/titletrn.cpp -o icu74/i18n/titletrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tmunit.cpp -o icu74/i18n/tmunit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tmutamt.cpp -o icu74/i18n/tmutamt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tmutfmt.cpp -o icu74/i18n/tmutfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tolowtrn.cpp -o icu74/i18n/tolowtrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/toupptrn.cpp -o icu74/i18n/toupptrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/translit.cpp -o icu74/i18n/translit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/transreg.cpp -o icu74/i18n/transreg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tridpars.cpp -o icu74/i18n/tridpars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tzfmt.cpp -o icu74/i18n/tzfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tzgnames.cpp -o icu74/i18n/tzgnames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tznames_impl.cpp -o icu74/i18n/tznames_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tznames.cpp -o icu74/i18n/tznames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tzrule.cpp -o icu74/i18n/tzrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tztrans.cpp -o icu74/i18n/tztrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucal.cpp -o icu74/i18n/ucal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucln_in.cpp -o icu74/i18n/ucln_in.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucol_res.cpp -o icu74/i18n/ucol_res.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucol_sit.cpp -o icu74/i18n/ucol_sit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucol.cpp -o icu74/i18n/ucol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucoleitr.cpp -o icu74/i18n/ucoleitr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucsdet.cpp -o icu74/i18n/ucsdet.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/udat.cpp -o icu74/i18n/udat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/udateintervalformat.cpp -o icu74/i18n/udateintervalformat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/udatpg.cpp -o icu74/i18n/udatpg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ufieldpositer.cpp -o icu74/i18n/ufieldpositer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uitercollationiterator.cpp -o icu74/i18n/uitercollationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ulistformatter.cpp -o icu74/i18n/ulistformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ulocdata.cpp -o icu74/i18n/ulocdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/umsg.cpp -o icu74/i18n/umsg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/unesctrn.cpp -o icu74/i18n/unesctrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uni2name.cpp -o icu74/i18n/uni2name.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_complexconverter.cpp -o icu74/i18n/units_complexconverter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_converter.cpp -o icu74/i18n/units_converter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_data.cpp -o icu74/i18n/units_data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_router.cpp -o icu74/i18n/units_router.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/unum.cpp -o icu74/i18n/unum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/unumsys.cpp -o icu74/i18n/unumsys.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/upluralrules.cpp -o icu74/i18n/upluralrules.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uregex.cpp -o icu74/i18n/uregex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uregexc.cpp -o icu74/i18n/uregexc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uregion.cpp -o icu74/i18n/uregion.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/usearch.cpp -o icu74/i18n/usearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof_build.cpp -o icu74/i18n/uspoof_build.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof_conf.cpp -o icu74/i18n/uspoof_conf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof_impl.cpp -o icu74/i18n/uspoof_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof.cpp -o icu74/i18n/uspoof.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utf16collationiterator.cpp -o icu74/i18n/utf16collationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utf8collationiterator.cpp -o icu74/i18n/utf8collationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utmscale.cpp -o icu74/i18n/utmscale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utrans.cpp -o icu74/i18n/utrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/vtzone.cpp -o icu74/i18n/vtzone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/vzone.cpp -o icu74/i18n/vzone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/windtfmt.cpp -o icu74/i18n/windtfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/winnmfmt.cpp -o icu74/i18n/winnmfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/wintzimpl.cpp -o icu74/i18n/wintzimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/zonemeta.cpp -o icu74/i18n/zonemeta.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/zrule.cpp -o icu74/i18n/zrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ztrans.cpp -o icu74/i18n/ztrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/stubdata/stubdata.cpp -o icu74/stubdata/stubdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o stringi.so stri_brkiter.o stri_callables.o stri_collator.o stri_common.o stri_compare.o stri_container_base.o stri_container_bytesearch.o stri_container_listint.o stri_container_listraw.o stri_container_listutf8.o stri_container_regex.o stri_container_usearch.o stri_container_utf16.o stri_container_utf8.o stri_container_utf8_indexable.o stri_encoding_conversion.o stri_encoding_detection.o stri_encoding_management.o stri_escape.o stri_exception.o stri_ICU_settings.o stri_join.o stri_length.o stri_pad.o stri_prepare_arg.o stri_random.o stri_reverse.o stri_search_class_count.o stri_search_class_detect.o stri_search_class_extract.o stri_search_class_locate.o stri_search_class_replace.o stri_search_class_split.o stri_search_class_startsendswith.o stri_search_class_subset.o stri_search_class_trim.o stri_search_common.o stri_search_coll_count.o stri_search_coll_detect.o stri_search_coll_extract.o stri_search_coll_locate.o stri_search_coll_replace.o stri_search_coll_split.o stri_search_coll_startsendswith.o stri_search_coll_subset.o stri_search_boundaries_count.o stri_search_boundaries_extract.o stri_search_boundaries_locate.o stri_search_boundaries_split.o stri_search_fixed_count.o stri_search_fixed_detect.o stri_search_fixed_extract.o stri_search_fixed_locate.o stri_search_fixed_replace.o stri_search_fixed_split.o stri_search_fixed_subset.o stri_search_fixed_startsendswith.o stri_search_in.o stri_search_other_split.o stri_search_regex_count.o stri_search_regex_detect.o stri_search_regex_extract.o stri_search_regex_locate.o stri_search_regex_match.o stri_search_regex_replace.o stri_search_regex_split.o stri_search_regex_subset.o stri_sort.o stri_sprintf.o stri_stats.o stri_string8.o stri_stringi.o stri_sub.o stri_test.o stri_time_zone.o stri_time_calendar.o stri_time_symbols.o stri_time_format.o stri_trans_casemap.o stri_trans_other.o stri_trans_normalization.o stri_trans_transliterate.o stri_ucnv.o stri_uloc.o stri_utils.o stri_wrap.o icu74/common/appendable.o icu74/common/bmpset.o icu74/common/brkeng.o icu74/common/brkiter.o icu74/common/bytesinkutil.o icu74/common/bytestream.o icu74/common/bytestrie.o icu74/common/bytestriebuilder.o icu74/common/bytestrieiterator.o icu74/common/caniter.o icu74/common/characterproperties.o icu74/common/chariter.o icu74/common/charstr.o icu74/common/cmemory.o icu74/common/cstr.o icu74/common/cstring.o icu74/common/cwchar.o icu74/common/dictbe.o icu74/common/dictionarydata.o icu74/common/dtintrv.o icu74/common/edits.o icu74/common/emojiprops.o icu74/common/errorcode.o icu74/common/filteredbrk.o icu74/common/filterednormalizer2.o icu74/common/icudataver.o icu74/common/icuplug.o icu74/common/loadednormalizer2impl.o icu74/common/localebuilder.o icu74/common/localematcher.o icu74/common/localeprioritylist.o icu74/common/locavailable.o icu74/common/locbased.o icu74/common/locdispnames.o icu74/common/locdistance.o icu74/common/locdspnm.o icu74/common/locid.o icu74/common/loclikely.o icu74/common/loclikelysubtags.o icu74/common/locmap.o icu74/common/locresdata.o icu74/common/locutil.o icu74/common/lsr.o icu74/common/lstmbe.o icu74/common/messagepattern.o icu74/common/mlbe.o icu74/common/normalizer2.o icu74/common/normalizer2impl.o icu74/common/normlzr.o icu74/common/parsepos.o icu74/common/patternprops.o icu74/common/pluralmap.o icu74/common/propname.o icu74/common/propsvec.o icu74/common/punycode.o icu74/common/putil.o icu74/common/rbbi_cache.o icu74/common/rbbi.o icu74/common/rbbidata.o icu74/common/rbbinode.o icu74/common/rbbirb.o icu74/common/rbbiscan.o icu74/common/rbbisetb.o icu74/common/rbbistbl.o icu74/common/rbbitblb.o icu74/common/resbund_cnv.o icu74/common/resbund.o icu74/common/resource.o icu74/common/restrace.o icu74/common/ruleiter.o icu74/common/schriter.o icu74/common/serv.o icu74/common/servlk.o icu74/common/servlkf.o icu74/common/servls.o icu74/common/servnotf.o icu74/common/servrbf.o icu74/common/servslkf.o icu74/common/sharedobject.o icu74/common/simpleformatter.o icu74/common/static_unicode_sets.o icu74/common/stringpiece.o icu74/common/stringtriebuilder.o icu74/common/uarrsort.o icu74/common/ubidi_props.o icu74/common/ubidi.o icu74/common/ubidiln.o icu74/common/ubiditransform.o icu74/common/ubidiwrt.o icu74/common/ubrk.o icu74/common/ucase.o icu74/common/ucasemap_titlecase_brkiter.o icu74/common/ucasemap.o icu74/common/ucat.o icu74/common/uchar.o icu74/common/ucharstrie.o icu74/common/ucharstriebuilder.o icu74/common/ucharstrieiterator.o icu74/common/uchriter.o icu74/common/ucln_cmn.o icu74/common/ucmndata.o icu74/common/ucnv_bld.o icu74/common/ucnv_cb.o icu74/common/ucnv_cnv.o icu74/common/ucnv_ct.o icu74/common/ucnv_err.o icu74/common/ucnv_ext.o icu74/common/ucnv_io.o icu74/common/ucnv_lmb.o icu74/common/ucnv_set.o icu74/common/ucnv_u16.o icu74/common/ucnv_u32.o icu74/common/ucnv_u7.o icu74/common/ucnv_u8.o icu74/common/ucnv.o icu74/common/ucnv2022.o icu74/common/ucnvbocu.o icu74/common/ucnvdisp.o icu74/common/ucnvhz.o icu74/common/ucnvisci.o icu74/common/ucnvlat1.o icu74/common/ucnvmbcs.o icu74/common/ucnvscsu.o icu74/common/ucnvsel.o icu74/common/ucol_swp.o icu74/common/ucptrie.o icu74/common/ucurr.o icu74/common/udata.o icu74/common/udatamem.o icu74/common/udataswp.o icu74/common/uenum.o icu74/common/uhash_us.o icu74/common/uhash.o icu74/common/uidna.o icu74/common/uinit.o icu74/common/uinvchar.o icu74/common/uiter.o icu74/common/ulist.o icu74/common/uloc_keytype.o icu74/common/uloc_tag.o icu74/common/uloc.o icu74/common/ulocale.o icu74/common/ulocbuilder.o icu74/common/umapfile.o icu74/common/umath.o icu74/common/umutablecptrie.o icu74/common/umutex.o icu74/common/unames.o icu74/common/unifiedcache.o icu74/common/unifilt.o icu74/common/unifunct.o icu74/common/uniset_closure.o icu74/common/uniset_props.o icu74/common/uniset.o icu74/common/unisetspan.o icu74/common/unistr_case_locale.o icu74/common/unistr_case.o icu74/common/unistr_cnv.o icu74/common/unistr_props.o icu74/common/unistr_titlecase_brkiter.o icu74/common/unistr.o icu74/common/unorm.o icu74/common/unormcmp.o icu74/common/uobject.o icu74/common/uprops.o icu74/common/ures_cnv.o icu74/common/uresbund.o icu74/common/uresdata.o icu74/common/usc_impl.o icu74/common/uscript_props.o icu74/common/uscript.o icu74/common/uset_props.o icu74/common/uset.o icu74/common/usetiter.o icu74/common/ushape.o icu74/common/usprep.o icu74/common/ustack.o icu74/common/ustr_cnv.o icu74/common/ustr_titlecase_brkiter.o icu74/common/ustr_wcs.o icu74/common/ustrcase_locale.o icu74/common/ustrcase.o icu74/common/ustrenum.o icu74/common/ustrfmt.o icu74/common/ustring.o icu74/common/ustrtrns.o icu74/common/utext.o icu74/common/utf_impl.o icu74/common/util_props.o icu74/common/util.o icu74/common/utrace.o icu74/common/utrie_swap.o icu74/common/utrie.o icu74/common/utrie2_builder.o icu74/common/utrie2.o icu74/common/uts46.o icu74/common/utypes.o icu74/common/uvector.o icu74/common/uvectr32.o icu74/common/uvectr64.o icu74/common/wintz.o icu74/i18n/alphaindex.o icu74/i18n/anytrans.o icu74/i18n/astro.o icu74/i18n/basictz.o icu74/i18n/bocsu.o icu74/i18n/brktrans.o icu74/i18n/buddhcal.o icu74/i18n/calendar.o icu74/i18n/casetrn.o icu74/i18n/cecal.o icu74/i18n/chnsecal.o icu74/i18n/choicfmt.o icu74/i18n/coleitr.o icu74/i18n/coll.o icu74/i18n/collation.o icu74/i18n/collationbuilder.o icu74/i18n/collationcompare.o icu74/i18n/collationdata.o icu74/i18n/collationdatabuilder.o icu74/i18n/collationdatareader.o icu74/i18n/collationdatawriter.o icu74/i18n/collationfastlatin.o icu74/i18n/collationfastlatinbuilder.o icu74/i18n/collationfcd.o icu74/i18n/collationiterator.o icu74/i18n/collationkeys.o icu74/i18n/collationroot.o icu74/i18n/collationrootelements.o icu74/i18n/collationruleparser.o icu74/i18n/collationsets.o icu74/i18n/collationsettings.o icu74/i18n/collationtailoring.o icu74/i18n/collationweights.o icu74/i18n/compactdecimalformat.o icu74/i18n/coptccal.o icu74/i18n/cpdtrans.o icu74/i18n/csdetect.o icu74/i18n/csmatch.o icu74/i18n/csr2022.o icu74/i18n/csrecog.o icu74/i18n/csrmbcs.o icu74/i18n/csrsbcs.o icu74/i18n/csrucode.o icu74/i18n/csrutf8.o icu74/i18n/curramt.o icu74/i18n/currfmt.o icu74/i18n/currpinf.o icu74/i18n/currunit.o icu74/i18n/dangical.o icu74/i18n/datefmt.o icu74/i18n/dayperiodrules.o icu74/i18n/dcfmtsym.o icu74/i18n/decContext.o icu74/i18n/decimfmt.o icu74/i18n/decNumber.o icu74/i18n/displayoptions.o icu74/i18n/double-conversion-bignum-dtoa.o icu74/i18n/double-conversion-bignum.o icu74/i18n/double-conversion-cached-powers.o icu74/i18n/double-conversion-double-to-string.o icu74/i18n/double-conversion-fast-dtoa.o icu74/i18n/double-conversion-string-to-double.o icu74/i18n/double-conversion-strtod.o icu74/i18n/dtfmtsym.o icu74/i18n/dtitvfmt.o icu74/i18n/dtitvinf.o icu74/i18n/dtptngen.o icu74/i18n/dtrule.o icu74/i18n/erarules.o icu74/i18n/esctrn.o icu74/i18n/ethpccal.o icu74/i18n/fmtable_cnv.o icu74/i18n/fmtable.o icu74/i18n/format.o icu74/i18n/formatted_string_builder.o icu74/i18n/formattedval_iterimpl.o icu74/i18n/formattedval_sbimpl.o icu74/i18n/formattedvalue.o icu74/i18n/fphdlimp.o icu74/i18n/fpositer.o icu74/i18n/funcrepl.o icu74/i18n/gender.o icu74/i18n/gregocal.o icu74/i18n/gregoimp.o icu74/i18n/hebrwcal.o icu74/i18n/indiancal.o icu74/i18n/inputext.o icu74/i18n/islamcal.o icu74/i18n/iso8601cal.o icu74/i18n/japancal.o icu74/i18n/listformatter.o icu74/i18n/measfmt.o icu74/i18n/measunit_extra.o icu74/i18n/measunit.o icu74/i18n/measure.o icu74/i18n/msgfmt.o icu74/i18n/name2uni.o icu74/i18n/nfrs.o icu74/i18n/nfrule.o icu74/i18n/nfsubs.o icu74/i18n/nortrans.o icu74/i18n/nultrans.o icu74/i18n/number_affixutils.o icu74/i18n/number_asformat.o icu74/i18n/number_capi.o icu74/i18n/number_compact.o icu74/i18n/number_currencysymbols.o icu74/i18n/number_decimalquantity.o icu74/i18n/number_decimfmtprops.o icu74/i18n/number_fluent.o icu74/i18n/number_formatimpl.o icu74/i18n/number_grouping.o icu74/i18n/number_integerwidth.o icu74/i18n/number_longnames.o icu74/i18n/number_mapper.o icu74/i18n/number_modifiers.o icu74/i18n/number_multiplier.o icu74/i18n/number_notation.o icu74/i18n/number_output.o icu74/i18n/number_padding.o icu74/i18n/number_patternmodifier.o icu74/i18n/number_patternstring.o icu74/i18n/number_rounding.o icu74/i18n/number_scientific.o icu74/i18n/number_simple.o icu74/i18n/number_skeletons.o icu74/i18n/number_symbolswrapper.o icu74/i18n/number_usageprefs.o icu74/i18n/number_utils.o icu74/i18n/numfmt.o icu74/i18n/numparse_affixes.o icu74/i18n/numparse_compositions.o icu74/i18n/numparse_currency.o icu74/i18n/numparse_decimal.o icu74/i18n/numparse_impl.o icu74/i18n/numparse_parsednumber.o icu74/i18n/numparse_scientific.o icu74/i18n/numparse_symbols.o icu74/i18n/numparse_validators.o icu74/i18n/numrange_capi.o icu74/i18n/numrange_fluent.o icu74/i18n/numrange_impl.o icu74/i18n/numsys.o icu74/i18n/olsontz.o icu74/i18n/persncal.o icu74/i18n/pluralranges.o icu74/i18n/plurfmt.o icu74/i18n/plurrule.o icu74/i18n/quant.o icu74/i18n/quantityformatter.o icu74/i18n/rbnf.o icu74/i18n/rbt_data.o icu74/i18n/rbt_pars.o icu74/i18n/rbt_rule.o icu74/i18n/rbt_set.o icu74/i18n/rbt.o icu74/i18n/rbtz.o icu74/i18n/regexcmp.o icu74/i18n/regeximp.o icu74/i18n/regexst.o icu74/i18n/regextxt.o icu74/i18n/region.o icu74/i18n/reldatefmt.o icu74/i18n/reldtfmt.o icu74/i18n/rematch.o icu74/i18n/remtrans.o icu74/i18n/repattrn.o icu74/i18n/rulebasedcollator.o icu74/i18n/scientificnumberformatter.o icu74/i18n/scriptset.o icu74/i18n/search.o icu74/i18n/selfmt.o icu74/i18n/sharedbreakiterator.o icu74/i18n/simpletz.o icu74/i18n/smpdtfmt.o icu74/i18n/smpdtfst.o icu74/i18n/sortkey.o icu74/i18n/standardplural.o icu74/i18n/string_segment.o icu74/i18n/strmatch.o icu74/i18n/strrepl.o icu74/i18n/stsearch.o icu74/i18n/taiwncal.o icu74/i18n/timezone.o icu74/i18n/titletrn.o icu74/i18n/tmunit.o icu74/i18n/tmutamt.o icu74/i18n/tmutfmt.o icu74/i18n/tolowtrn.o icu74/i18n/toupptrn.o icu74/i18n/translit.o icu74/i18n/transreg.o icu74/i18n/tridpars.o icu74/i18n/tzfmt.o icu74/i18n/tzgnames.o icu74/i18n/tznames_impl.o icu74/i18n/tznames.o icu74/i18n/tzrule.o icu74/i18n/tztrans.o icu74/i18n/ucal.o icu74/i18n/ucln_in.o icu74/i18n/ucol_res.o icu74/i18n/ucol_sit.o icu74/i18n/ucol.o icu74/i18n/ucoleitr.o icu74/i18n/ucsdet.o icu74/i18n/udat.o icu74/i18n/udateintervalformat.o icu74/i18n/udatpg.o icu74/i18n/ufieldpositer.o icu74/i18n/uitercollationiterator.o icu74/i18n/ulistformatter.o icu74/i18n/ulocdata.o icu74/i18n/umsg.o icu74/i18n/unesctrn.o icu74/i18n/uni2name.o icu74/i18n/units_complexconverter.o icu74/i18n/units_converter.o icu74/i18n/units_data.o icu74/i18n/units_router.o icu74/i18n/unum.o icu74/i18n/unumsys.o icu74/i18n/upluralrules.o icu74/i18n/uregex.o icu74/i18n/uregexc.o icu74/i18n/uregion.o icu74/i18n/usearch.o icu74/i18n/uspoof_build.o icu74/i18n/uspoof_conf.o icu74/i18n/uspoof_impl.o icu74/i18n/uspoof.o icu74/i18n/utf16collationiterator.o icu74/i18n/utf8collationiterator.o icu74/i18n/utmscale.o icu74/i18n/utrans.o icu74/i18n/vtzone.o icu74/i18n/vzone.o icu74/i18n/windtfmt.o icu74/i18n/winnmfmt.o icu74/i18n/wintzimpl.o icu74/i18n/zonemeta.o icu74/i18n/zrule.o icu74/i18n/ztrans.o icu74/stubdata/stubdata.o installing via 'install.libs.R' to /tmp/th798/27261227/R-devel/841/library/00LOCK-stringi/00new/stringi icu74/data/icudt74l.dat.xz exists decompressing icu74/data/icudt74l.dat.xz to: /tmp/th798/27261227/R-devel/841/library/00LOCK-stringi/00new/stringi/libs icu74/data/icudt74l.dat installed successfully ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stringi) * installing *source* package 'labeling' ... ** this is package 'labeling' version '0.4.3' ** package 'labeling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (labeling) * installing *source* package 'fastmap' ... ** this is package 'fastmap' version '1.2.0' ** package 'fastmap' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilib/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmap.cpp -o fastmap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilib/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fastmap.so fastmap.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-fastmap/00new/fastmap/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fastmap) * installing *source* package 'mime' ... ** this is package 'mime' version '0.13' ** package 'mime' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rawmatch.c -o rawmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mime.so init.o rawmatch.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mime/00new/mime/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mime) * installing *source* package 'otel' ... ** this is package 'otel' version '0.2.0' ** package 'otel' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (otel) * installing *source* package 'sourcetools' ... ** this is package 'sourcetools' version '0.1.7-1' ** package 'sourcetools' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Reader.cpp -o Reader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Tokenizer.cpp -o Tokenizer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sourcetools-init.c -o sourcetools-init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sourcetools.so Reader.o Tokenizer.o sourcetools-init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-sourcetools/00new/sourcetools/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sourcetools) * installing *source* package 'lazyeval' ... ** this is package 'lazyeval' version '0.2.2' ** package 'lazyeval' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expr.c -o expr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interp.c -o interp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lazy.c -o lazy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c name.c -o name.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lazyeval.so expr.o init.o interp.o lazy.o name.o utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lazyeval/00new/lazyeval/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lazyeval) * installing *source* package 'perm' ... ** this is package 'perm' version '1.0-0.4' ** package 'perm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (perm) * installing *source* package 'MLEcens' ... ** this is package 'MLEcens' version '0.1-7.1' ** package 'MLEcens' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MLEcens_init.c -o MLEcens_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c canon2real.c -o canon2real.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c computeMLE.c -o computeMLE.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c real2canon.c -o real2canon.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reduc.c -o reduc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o MLEcens.so MLEcens_init.o canon2real.o computeMLE.o real2canon.o reduc.o util.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-MLEcens/00new/MLEcens/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MLEcens) * installing *source* package 'rbibutils' ... ** this is package 'rbibutils' version '2.4.1' ** package 'rbibutils' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c adsout.c -o adsout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any2xml.c -o any2xml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c args.c -o args.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bib2be.c -o bib2be.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibcore.c -o bibcore.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibentrydirectout.c -o bibentrydirectout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibentryout.c -o bibentryout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibl.c -o bibl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c biblatexin.c -o biblatexin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c biblatexout.c -o biblatexout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibprog.c -o bibprog.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtexdirectin.c -o bibtexdirectin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtexin.c -o bibtexin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtexout.c -o bibtexout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtextypes.c -o bibtextypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibutils.c -o bibutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bltypes.c -o bltypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bu_auth.c -o bu_auth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c charsets.c -o charsets.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_be_bed.c -o common_be_bed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_blt_btd_out.c -o common_bt_blt_btd_out.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_btd.c -o common_bt_btd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_btd_blt.c -o common_bt_btd_blt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_btd_out.c -o common_bt_btd_out.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_most.c -o common_most.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c copacin.c -o copacin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c copactypes.c -o copactypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ebiin.c -o ebiin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endin.c -o endin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endout.c -o endout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endtypes.c -o endtypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endxmlin.c -o endxmlin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c entities.c -o entities.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fields.c -o fields.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gb18030.c -o gb18030.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c generic.c -o generic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c intlist.c -o intlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_ws.c -o is_ws.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isiin.c -o isiin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isiout.c -o isiout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isitypes.c -o isitypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso639_1.c -o iso639_1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso639_2.c -o iso639_2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso639_3.c -o iso639_3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c latex.c -o latex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c latex_parse.c -o latex_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c marc_auth.c -o marc_auth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c medin.c -o medin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modsin.c -o modsin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modsout.c -o modsout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modstypes.c -o modstypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c name.c -o name.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nbibin.c -o nbibin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nbibout.c -o nbibout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nbibtypes.c -o nbibtypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c notes.c -o notes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pages.c -o pages.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reftypes.c -o reftypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c risin.c -o risin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c risout.c -o risout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ristypes.c -o ristypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c serialno.c -o serialno.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slist.c -o slist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c str.c -o str.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c str_conv.c -o str_conv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c strsearch.c -o strsearch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c title.c -o title.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tomods.c -o tomods.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type.c -o type.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unicode.c -o unicode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c url.c -o url.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vplist.c -o vplist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wordin.c -o wordin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wordout.c -o wordout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml.c -o xml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2any.c -o xml2any.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml_encoding.c -o xml_encoding.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rbibutils.so adsout.o any2xml.o args.o bib2be.o bibcore.o bibentrydirectout.o bibentryout.o bibl.o biblatexin.o biblatexout.o bibprog.o bibtexdirectin.o bibtexin.o bibtexout.o bibtextypes.o bibutils.o bltypes.o bu_auth.o charsets.o common_be_bed.o common_bt_blt_btd_out.o common_bt_btd.o common_bt_btd_blt.o common_bt_btd_out.o common_most.o copacin.o copactypes.o ebiin.o endin.o endout.o endtypes.o endxmlin.o entities.o fields.o gb18030.o generic.o init.o intlist.o is_ws.o isiin.o isiout.o isitypes.o iso639_1.o iso639_2.o iso639_3.o latex.o latex_parse.o marc_auth.o medin.o modsin.o modsout.o modstypes.o name.o nbibin.o nbibout.o nbibtypes.o notes.o pages.o reftypes.o risin.o risout.o ristypes.o serialno.o slist.o str.o str_conv.o strsearch.o title.o tomods.o type.o unicode.o url.o utf8.o vplist.o wordin.o wordout.o xml.o xml2any.o xml_encoding.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rbibutils/00new/rbibutils/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rbibutils) * installing *source* package 'brio' ... ** this is package 'brio' version '1.1.5' ** package 'brio' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brio.c -o brio.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file_line_endings.c -o file_line_endings.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file.c -o read_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file_raw.c -o read_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_lines.c -o read_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file.c -o write_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file_raw.c -o write_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_lines.c -o write_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brio.so brio.o file_line_endings.o init.o read_file.o read_file_raw.o read_lines.o write_file.o write_file_raw.o write_lines.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-brio/00new/brio/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brio) * installing *source* package 'praise' ... ** this is package 'praise' version '1.0.0' ** package 'praise' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (praise) * installing *source* package 'ps' ... ** this is package 'ps' version '1.9.1' ** package 'ps' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall px.c -o px /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-common.c -o api-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common.c -o common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extra.c -o extra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error-codes.c -o error-codes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c posix.c -o posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-posix.c -o api-posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c linux.c -o linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-linux.c -o api-linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ps.so init.o api-common.o common.o extra.o dummy.o error-codes.o cleancall.o posix.o api-posix.o linux.o api-linux.o installing via 'install.libs.R' to /tmp/th798/27261227/R-devel/841/library/00LOCK-ps/00new/ps ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ps) * installing *source* package 'iterators' ... ** this is package 'iterators' version '1.0.14' ** package 'iterators' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iterators) * installing *source* package 'zigg' ... ** this is package 'zigg' version '0.0.2' ** package 'zigg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ziggurat.cpp -o ziggurat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o zigg.so init.o ziggurat.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-zigg/00new/zigg/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zigg) * installing *source* package 'clipr' ... ** this is package 'clipr' version '0.8.0' ** package 'clipr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clipr) * installing *source* package 'crayon' ... ** this is package 'crayon' version '1.5.3' ** package 'crayon' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crayon) * installing *source* package 'operator.tools' ... ** this is package 'operator.tools' version '1.6.3.1' ** package 'operator.tools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (operator.tools) * installing *source* package 'shape' ... ** this is package 'shape' version '1.4.6.1' ** package 'shape' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shape) * installing *source* package 'pan' ... ** this is package 'pan' version '1.9' ** package 'pan' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c package_native_routine_registration_skeleton.c -o package_native_routine_registration_skeleton.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pan.f -o pan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pan.so package_native_routine_registration_skeleton.o pan.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-pan/00new/pan/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pan) * installing *source* package 'mlbench' ... ** this is package 'mlbench' version '2.1-7' ** package 'mlbench' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c waveform.c -o waveform.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlbench.so init.o waveform.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mlbench/00new/mlbench/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlbench) * installing *source* package 'palmerpenguins' ... ** this is package 'palmerpenguins' version '0.1.1' ** package 'palmerpenguins' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (palmerpenguins) * installing *source* package 'uuid' ... ** this is package 'uuid' version '1.2-2' ** package 'uuid' successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for grp.h... yes checking for langinfo.h... yes checking for locale.h... yes checking for netinet/in.h... yes checking for stdlib.h... (cached) yes checking for sys/file.h... yes checking for sys/ioctl.h... yes checking for sys/socket.h... yes checking for sys/sockio.h... no checking for sys/syscall.h... yes checking for sys/sendfile.h... yes checking for sys/time.h... yes checking for sys/un.h... yes checking for unistd.h... (cached) yes checking for net/if.h... yes checking for net/if_dl.h... no checking for dirfd... yes checking for err... yes checking for errx... yes checking for getexecname... no checking for getrandom... yes checking for jrand48... yes checking for llseek... no checking for lchown... yes checking for mempcpy... yes checking for mkostemp... yes checking for nanosleep... yes checking for sendfile... yes checking for srandom... yes checking for strnchr... no checking for strndup... yes checking for strnlen... yes checking for usleep... yes checking for warn... yes checking for warnx... yes checking for flock... yes checking for struct sockaddr.sa_len... no checking for dlfcn.h... yes checking for library containing dlsym... -ldl checking for thread local storage (TLS) support... yes configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R.c -o R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Ruuid.c -o Ruuid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clear.c -o clear.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compare.c -o compare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c copy.c -o copy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gen_uuid.c -o gen_uuid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isnull.c -o isnull.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pack.c -o pack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rand.c -o rand.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c randutils.c -o randutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unpack.c -o unpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unparse.c -o unparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o uuid.so R.o Ruuid.o clear.o compare.o copy.o gen_uuid.o isnull.o md5.o pack.o parse.o rand.o randutils.o sha1.o unpack.o unparse.o -ldl installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-uuid/00new/uuid/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (uuid) * installing *source* package 'fansi' ... ** this is package 'fansi' version '1.0.7' ** package 'fansi' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assumptions.c -o assumptions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c carry.c -o carry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c has.c -o has.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nchar.c -o nchar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c normalize.c -o normalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.c -o read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c state.c -o state.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c strip.c -o strip.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c substr.c -o substr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tabs.c -o tabs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tohtml.c -o tohtml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trimws.c -o trimws.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unhandled.c -o unhandled.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c width.c -o width.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrap.c -o wrap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.c -o write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fansi.so assumptions.o carry.o has.o init.o nchar.o normalize.o read.o state.o strip.o substr.o tabs.o tohtml.o trimws.o unhandled.o utf8.o utils.o width.o wrap.o write.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-fansi/00new/fansi/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fansi) * installing *source* package 'expm' ... ** this is package 'expm' version '1.0-0' ** package 'expm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_dgebal.c -o R_dgebal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expm-eigen.c -o expm-eigen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expm.c -o expm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logm-eigen.c -o logm-eigen.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matexp.f -o matexp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matexp_MH09.c -o matexp_MH09.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matpow.c -o matpow.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matrexp.f -o matrexp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matrexpO.f -o matrexpO.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mexp-common.f -o mexp-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o expm.so R_dgebal.o expm-eigen.o expm.o init.o logm-eigen.o matexp.o matexp_MH09.o matpow.o matrexp.o matrexpO.o mexp-common.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-expm/00new/expm/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (expm) * installing *source* package 'pracma' ... ** this is package 'pracma' version '2.4.6' ** package 'pracma' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pracma) * installing *source* package 'warp' ... ** this is package 'warp' version '0.2.3' ** package 'warp' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boundary.c -o boundary.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c change.c -o change.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coercion.c -o coercion.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c date.c -o date.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distance.c -o distance.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c divmod.c -o divmod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get.c -o get.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timezone.c -o timezone.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o warp.so boundary.o change.o coercion.o date.o distance.o divmod.o get.o init.o timezone.o utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-warp/00new/warp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (warp) * installing *source* package 'gtools' ... ** this is package 'gtools' version '3.9.5' ** package 'gtools' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c roman2int.c -o roman2int.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c setTCPNoDelay.c -o setTCPNoDelay.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gtools.so init.o roman2int.o setTCPNoDelay.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-gtools/00new/gtools/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gtools) * installing *source* package 'DiceDesign' ... ** this is package 'DiceDesign' version '1.10' ** package 'DiceDesign' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c C_StraussDesign.c -o C_StraussDesign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c C_rss.c -o C_rss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DiceDesign_init.c -o DiceDesign_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DiceDesign.so C_StraussDesign.o C_rss.o DiceDesign_init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-DiceDesign/00new/DiceDesign/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DiceDesign) * installing *source* package 'gower' ... ** this is package 'gower' version '1.0.2' ** package 'gower' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_register_native.c -o R_register_native.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gower.c -o gower.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gower.so R_register_native.o gower.o -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-gower/00new/gower/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gower) * installing *source* package 'timeDate' ... ** this is package 'timeDate' version '4052.112' ** package 'timeDate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'sample' from package 'base' in package 'timeDate' Creating a generic function for 'getDataPart' from package 'methods' in package 'timeDate' Creating a generic function for 'abline' from package 'graphics' in package 'timeDate' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (timeDate) * installing *source* package 'zoo' ... ** this is package 'zoo' version '1.8-15' ** package 'zoo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coredata.c -o coredata.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lag.c -o lag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o zoo.so coredata.o init.o lag.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-zoo/00new/zoo/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zoo) * installing *source* package 'Rcpp' ... ** this is package 'Rcpp' version '1.1.1' ** package 'Rcpp' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.cpp -o api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attributes.cpp -o attributes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c barrier.cpp -o barrier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c date.cpp -o date.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c module.cpp -o module.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rcpp_init.cpp -o rcpp_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Rcpp.so api.o attributes.o barrier.o date.o module.o rcpp_init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-Rcpp/00new/Rcpp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rcpp) * installing *source* package 'assertthat' ... ** this is package 'assertthat' version '0.2.1' ** package 'assertthat' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (assertthat) * installing *source* package 'glue' ... ** this is package 'glue' version '1.8.0' ** package 'glue' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trim.c -o trim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glue.so glue.o init.o trim.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-glue/00new/glue/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glue) * installing *source* package 'R6' ... ** this is package 'R6' version '2.6.1' ** package 'R6' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R6) * installing *source* package 'cpp11' ... ** this is package 'cpp11' version '0.5.3' ** package 'cpp11' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cpp11) * installing *source* package 'profmem' ... ** this is package 'profmem' version '0.7.0' ** package 'profmem' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (profmem) * installing *source* package 'modeltools' ... ** this is package 'modeltools' version '0.2-24' ** package 'modeltools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'na.pass' from package 'stats' in package 'modeltools' Creating a generic function from function 'MEapply' in package 'modeltools' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modeltools) * installing *source* package 'DBI' ... ** this is package 'DBI' version '1.3.0' ** package 'DBI' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DBI) * installing *source* package 'enrichwith' ... ** this is package 'enrichwith' version '0.4.0' ** package 'enrichwith' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (enrichwith) * installing *source* package 'statmod' ... ** this is package 'statmod' version '1.5.1' ** package 'statmod' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expectedDeviance.c -o expectedDeviance.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c gaussq2.f -o gaussq2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o statmod.so expectedDeviance.o gaussq2.o init.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-statmod/00new/statmod/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (statmod) * installing *source* package 'nleqslv' ... ** this is package 'nleqslv' version '3.3.6' ** package 'nleqslv' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lautil.f -o lautil.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c limhpar.f -o limhpar.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c liqrev.f -o liqrev.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c liqrup.f -o liqrup.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lirslv.f -o lirslv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nleqslv.c -o nleqslv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwbjac.f -o nwbjac.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwbrdn.f -o nwbrdn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwclsh.f -o nwclsh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwddlg.f -o nwddlg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwglsh.f -o nwglsh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwmhlm.f -o nwmhlm.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwnjac.f -o nwnjac.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwnleq.f -o nwnleq.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwnwtn.f -o nwnwtn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nwout.c -o nwout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwpdlg.f -o nwpdlg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwpure.f -o nwpure.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwqlsh.f -o nwqlsh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwtrup.f -o nwtrup.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwutil.f -o nwutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nleqslv.so init.o lautil.o limhpar.o liqrev.o liqrup.o lirslv.o nleqslv.o nwbjac.o nwbrdn.o nwclsh.o nwddlg.o nwglsh.o nwmhlm.o nwnjac.o nwnleq.o nwnwtn.o nwout.o nwpdlg.o nwpure.o nwqlsh.o nwtrup.o nwutil.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-nleqslv/00new/nleqslv/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nleqslv) * installing *source* package 'matrixStats' ... ** this is package 'matrixStats' version '1.5.0' ** package 'matrixStats' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c 000.init.c -o 000.init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c allocMatrix2.c -o allocMatrix2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c anyMissing.c -o anyMissing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binCounts.c -o binCounts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binMeans.c -o binMeans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colCounts.c -o colCounts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colOrderStats.c -o colOrderStats.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colRanges.c -o colRanges.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff2.c -o diff2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c indexByRow.c -o indexByRow.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logSumExp.c -o logSumExp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mean2.c -o mean2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c naming.c -o naming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c productExpSumLog.c -o productExpSumLog.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c psortKM.c -o psortKM.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCounts.c -o rowCounts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCummaxs.c -o rowCummaxs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCummins.c -o rowCummins.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCumprods.c -o rowCumprods.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCumsums.c -o rowCumsums.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowDiffs.c -o rowDiffs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowLogSumExp.c -o rowLogSumExp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMads.c -o rowMads.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMeans2.c -o rowMeans2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMedians.c -o rowMedians.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowOrderStats.c -o rowOrderStats.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowRanges.c -o rowRanges.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowRanksWithTies.c -o rowRanksWithTies.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowSums2.c -o rowSums2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowVars.c -o rowVars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c signTabulate.c -o signTabulate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sum2.c -o sum2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c validateIndices.c -o validateIndices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weightedMean.c -o weightedMean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weightedMedian.c -o weightedMedian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c x_OP_y.c -o x_OP_y.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o matrixStats.so 000.init.o allocMatrix2.o anyMissing.o binCounts.o binMeans.o colCounts.o colOrderStats.o colRanges.o diff2.o indexByRow.o logSumExp.o mean2.o naming.o productExpSumLog.o psortKM.o rowCounts.o rowCummaxs.o rowCummins.o rowCumprods.o rowCumsums.o rowDiffs.o rowLogSumExp.o rowMads.o rowMeans2.o rowMedians.o rowOrderStats.o rowRanges.o rowRanksWithTies.o rowSums2.o rowVars.o signTabulate.o sum2.o validateIndices.o weightedMean.o weightedMedian.o x_OP_y.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-matrixStats/00new/matrixStats/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (matrixStats) * installing *source* package 'coda' ... ** this is package 'coda' version '0.19-4.1' ** package 'coda' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (coda) * installing *source* package 'abind' ... ** this is package 'abind' version '1.4-8' ** package 'abind' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (abind) * installing *source* package 'extraoperators' ... ** this is package 'extraoperators' version '0.3.0' ** package 'extraoperators' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (extraoperators) * installing *source* package 'cli' ... ** this is package 'cli' version '3.6.5' ** package 'cli' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ansi.c -o ansi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inst.c -o inst.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-unix.c -o keypress-unix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-win.c -o keypress-win.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress.c -o keypress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress-altrep.c -o progress-altrep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress.c -o progress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha256.c -o sha256.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.c -o thread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tty.c -o tty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vt.c -o vt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse.c -o vtparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse_table.c -o vtparse_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c win-utf8.c -o win-utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winfiles.c -o winfiles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash.c -o xxhash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash2.c -o xxhash2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cli.so ansi.o cleancall.o diff.o errors.o glue.o init.o inst.o keypress-unix.o keypress-win.o keypress.o md5.o progress-altrep.o progress.o sha1.o sha256.o thread.o tty.o utf8.o utils.o vt.o vtparse.o vtparse_table.o win-utf8.o winfiles.o xxhash.o xxhash2.o -lpthread installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-cli/00new/cli/libs ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cli) * installing *source* package 'digest' ... ** this is package 'digest' version '0.6.39' ** package 'digest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SpookyV2.cpp -o SpookyV2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aes.c -o aes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c blake3.c -o blake3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c blake3_dispatch.c -o blake3_dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c blake3_portable.c -o blake3_portable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crc32.c -o crc32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crc32c.cpp -o crc32c.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crc32c_portable.cpp -o crc32c_portable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c digest.c -o digest.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c digest2int.c -o digest2int.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pmurhash.c -o pmurhash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c raes.c -o raes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha2.c -o sha2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha256.c -o sha256.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c spooky_serialize.cpp -o spooky_serialize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash.c -o xxhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o digest.so SpookyV2.o aes.o blake3.o blake3_dispatch.o blake3_portable.o crc32.o crc32c.o crc32c_portable.o digest.o digest2int.o init.o md5.o pmurhash.o raes.o sha1.o sha2.o sha256.o spooky_serialize.o xxhash.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-digest/00new/digest/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (digest) * installing *source* package 'jsonlite' ... ** this is package 'jsonlite' version '2.0.0' ** package 'jsonlite' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_array.c -o collapse_array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_object.c -o collapse_object.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_pretty.c -o collapse_pretty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c escape_chars.c -o escape_chars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integer64_to_na.c -o integer64_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_datelist.c -o is_datelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_recordlist.c -o is_recordlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_scalarlist.c -o is_scalarlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modp_numtoa.c -o modp_numtoa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c null_to_na.c -o null_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c num_to_char.c -o num_to_char.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prettify.c -o prettify.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c push_parser.c -o push_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-base64.c -o r-base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c register.c -o register.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c row_collapse.c -o row_collapse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose_list.c -o transpose_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c validate.c -o validate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl.c -o yajl/yajl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_alloc.c -o yajl/yajl_alloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_buf.c -o yajl/yajl_buf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_encode.c -o yajl/yajl_encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_gen.c -o yajl/yajl_gen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_lex.c -o yajl/yajl_lex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_parser.c -o yajl/yajl_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_tree.c -o yajl/yajl_tree.o ar rcs yajl/libstatyajl.a yajl/yajl.o yajl/yajl_alloc.o yajl/yajl_buf.o yajl/yajl_encode.o yajl/yajl_gen.o yajl/yajl_lex.o yajl/yajl_parser.o yajl/yajl_tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o jsonlite.so base64.o collapse_array.o collapse_object.o collapse_pretty.o escape_chars.o integer64_to_na.o is_datelist.o is_recordlist.o is_scalarlist.o modp_numtoa.o null_to_na.o num_to_char.o parse.o prettify.o push_parser.o r-base64.o register.o row_collapse.o transpose_list.o validate.o -Lyajl -lstatyajl installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-jsonlite/00new/jsonlite/libs ** R ** inst ** byte-compile and prepare package for lazy loading in method for 'asJSON' with signature '"AsIs"': no definition for class "AsIs" in method for 'asJSON' with signature '"ITime"': no definition for class "ITime" in method for 'asJSON' with signature '"hms"': no definition for class "hms" in method for 'asJSON' with signature '"json"': no definition for class "json" in method for 'asJSON' with signature '"integer64"': no definition for class "integer64" in method for 'asJSON' with signature '"pairlist"': no definition for class "pairlist" in method for 'asJSON' with signature '"blob"': no definition for class "blob" in method for 'asJSON' with signature '"scalar"': no definition for class "scalar" in method for 'asJSON' with signature '"sf"': no definition for class "sf" in method for 'asJSON' with signature '"sfc"': no definition for class "sfc" in method for 'asJSON' with signature '"vctrs_vctr"': no definition for class "vctrs_vctr" ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jsonlite) * installing *source* package 'estimability' ... ** this is package 'estimability' version '1.5.1' ** package 'estimability' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (estimability) * installing *source* package 'deSolve' ... ** this is package 'deSolve' version '1.41' ** package 'deSolve' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DLLutil.c -o DLLutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_init_deSolve.c -o R_init_deSolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brent.c -o brent.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_daspk.c -o call_daspk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_euler.c -o call_euler.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_iteration.c -o call_iteration.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_lsoda.c -o call_lsoda.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_radau.c -o call_radau.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rk4.c -o call_rk4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rkAuto.c -o call_rkAuto.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rkFixed.c -o call_rkFixed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rkImplicit.c -o call_rkImplicit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_zvode.c -o call_zvode.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c daux.f -o daux.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ddaspk.f -o ddaspk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c deSolve_utils.c -o deSolve_utils.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dintdy2.f -o dintdy2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dlinpk.f -o dlinpk.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dlsoder.f -o dlsoder.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dsparsk.f -o dsparsk.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dvode.f -o dvode.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c errmsg.f -o errmsg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_Aquaphy.c -o ex_Aquaphy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_CCL4model.c -o ex_CCL4model.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_ChemicalDAE.c -o ex_ChemicalDAE.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_SCOC.c -o ex_SCOC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forcings.c -o forcings.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lags.c -o lags.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c opkda1.f -o opkda1.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c opkdmain.f -o opkdmain.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c radau5.f -o radau5.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c radau5a.f -o radau5a.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_auto.c -o rk_auto.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_fixed.c -o rk_fixed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_implicit.c -o rk_implicit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_util.c -o rk_util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rprintf.c -o rprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c twoDmap.c -o twoDmap.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c zvode.f -o zvode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o deSolve.so DLLutil.o R_init_deSolve.o brent.o call_daspk.o call_euler.o call_iteration.o call_lsoda.o call_radau.o call_rk4.o call_rkAuto.o call_rkFixed.o call_rkImplicit.o call_zvode.o daux.o ddaspk.o deSolve_utils.o dintdy2.o dlinpk.o dlsoder.o dsparsk.o dvode.o errmsg.o ex_Aquaphy.o ex_CCL4model.o ex_ChemicalDAE.o ex_SCOC.o forcings.o lags.o opkda1.o opkdmain.o radau5.o radau5a.o rk_auto.o rk_fixed.o rk_implicit.o rk_util.o rprintf.o twoDmap.o zvode.o -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-deSolve/00new/deSolve/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'matplot' in package 'deSolve' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (deSolve) * installing *source* package 'muhaz' ... ** this is package 'muhaz' version '1.2.6.4' ** package 'muhaz' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c muhaz.f -o muhaz.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o muhaz.so init.o muhaz.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-muhaz/00new/muhaz/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (muhaz) * installing *source* package 'quadprog' ... ** this is package 'quadprog' version '1.5-8' ** package 'quadprog' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c aind.f -o aind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c solve.QP.compact.f -o solve.QP.compact.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c solve.QP.f -o solve.QP.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c util.f -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o quadprog.so aind.o init.o solve.QP.compact.o solve.QP.o util.o -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-quadprog/00new/quadprog/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quadprog) * installing *source* package 'fontBitstreamVera' ... ** this is package 'fontBitstreamVera' version '0.1.1' ** package 'fontBitstreamVera' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help No man pages found in package 'fontBitstreamVera' *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontBitstreamVera) * installing *source* package 'fontLiberation' ... ** this is package 'fontLiberation' version '0.1.0' ** package 'fontLiberation' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help No man pages found in package 'fontLiberation' *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontLiberation) * installing *source* package 'globals' ... ** this is package 'globals' version '0.19.0' ** package 'globals' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (globals) * installing *source* package 'listenv' ... ** this is package 'listenv' version '0.10.0' ** package 'listenv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (listenv) * installing *source* package 'parallelly' ... ** this is package 'parallelly' version '1.46.1' ** package 'parallelly' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c 000.init.c -o 000.init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c calc-serialized-size.c -o calc-serialized-size.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test_tcp_port.c -o test_tcp_port.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o parallelly.so 000.init.o calc-serialized-size.o test_tcp_port.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-parallelly/00new/parallelly/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parallelly) * installing *source* package 'gamlss.data' ... ** this is package 'gamlss.data' version '6.0-7' ** package 'gamlss.data' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gamlss.data) * installing *source* package 'S7' ... ** this is package 'S7' version '0.2.1' ** package 'S7' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c method-dispatch.c -o method-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prop.c -o prop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o S7.so init.o method-dispatch.o prop.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-S7/00new/S7/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (S7) * installing *source* package 'SuppDists' ... ** this is package 'SuppDists' version '1.1-9.9' ** package 'SuppDists' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dists.cpp -o dists.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o SuppDists.so dists.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-SuppDists/00new/SuppDists/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SuppDists) * installing *source* package 'rprojroot' ... ** this is package 'rprojroot' version '2.1.1' ** package 'rprojroot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rprojroot) * installing *source* package 'plotfunctions' ... ** this is package 'plotfunctions' version '1.5' ** package 'plotfunctions' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plotfunctions) * installing *source* package 'viridisLite' ... ** this is package 'viridisLite' version '0.4.3' ** package 'viridisLite' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (viridisLite) * installing *source* package 'nloptr' ... ** this is package 'nloptr' version '2.2.1' ** package 'nloptr' successfully unpacked and MD5 sums checked ** using staged installation 'config' variable 'CXX11FLAGS' is defunct checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 option to enable C++11 features... -std=gnu++11 checking how to run the C++ preprocessor... /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 -E checking whether the compiler supports GNU C++... (cached) yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 accepts -g... (cached) yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 option to enable C++11 features... (cached) -std=gnu++11 checking for pkg-config... /home/th798/.conda/envs/emacs1/bin/pkg-config checking if pkg-config knows NLopt... no checking for cmake... /home/th798/.conda/envs/emacs1/bin/cmake using cmake via /home/th798/.conda/envs/emacs1/bin/cmake using NLopt via local cmake build on x86_64 set CC=/packages/gcc/12.2.0-nnbserq/bin/gcc set CFLAGS=-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include 'config' variable 'CXX11' is defunct set CXX= 'config' variable 'CXX11STD' is defunct 'config' variable 'CXX11FLAGS' is defunct 'config' variable 'CXX11PICFLAGS' is defunct set CXXFLAGS= -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include set LDFLAGS=-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 Could not detect C++ compiler with R CMD config. -- The C compiler identification is GNU 12.2.0 -- The CXX compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /packages/gcc/12.2.0-nnbserq/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- NLopt version 2.10.0 -- Looking for getopt.h -- Looking for getopt.h - found -- Looking for unistd.h -- Looking for unistd.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for time.h -- Looking for time.h - found -- Looking for sys/time.h -- Looking for sys/time.h - found -- Looking for getpid -- Looking for getpid - found -- Looking for syscall -- Looking for syscall - found -- Looking for isinf -- Looking for isinf - found -- Looking for isnan -- Looking for isnan - found -- Looking for gettimeofday -- Looking for gettimeofday - found -- Looking for qsort_r -- Looking for qsort_r - found -- Looking for time -- Looking for time - found -- Looking for copysign -- Looking for copysign - found -- Looking for getopt -- Looking for getopt - found -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of uint32_t -- Check size of uint32_t - done -- Check size of unsigned int -- Check size of unsigned int - done -- Check size of unsigned long -- Check size of unsigned long - done -- Looking for sqrt in m -- Looking for sqrt in m - found -- Looking for fpclassify -- Looking for fpclassify - TRUE -- Performing Test HAVE_THREAD_LOCAL_STORAGE -- Performing Test HAVE_THREAD_LOCAL_STORAGE - Success -- Performing Test HAVE_THREAD_LOCAL_STORAGE -- Performing Test HAVE_THREAD_LOCAL_STORAGE - Failed -- Looking for __cplusplus -- Looking for __cplusplus - found -- Found JNI: /usr/lib/jvm/java/jre/lib/amd64/libjawt.so -- Found Java: /usr/bin/java (found suitable version "1.8.0_482", minimum required is "1.5") -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt-build [ 2%] Generating nlopt.hpp [ 2%] Built target generate-cpp [ 4%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/DIRect.c.o [ 6%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/direct_wrap.c.o [ 8%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/DIRserial.c.o [ 10%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/DIRsubrout.c.o [ 12%] Building C object CMakeFiles/nlopt.dir/src/algs/cdirect/cdirect.c.o [ 14%] Building C object CMakeFiles/nlopt.dir/src/algs/cdirect/hybrid.c.o [ 16%] Building C object CMakeFiles/nlopt.dir/src/algs/praxis/praxis.c.o [ 18%] Building C object CMakeFiles/nlopt.dir/src/algs/crs/crs.c.o [ 20%] Building C object CMakeFiles/nlopt.dir/src/algs/mlsl/mlsl.c.o [ 22%] Building C object CMakeFiles/nlopt.dir/src/algs/mma/mma.c.o [ 24%] Building C object CMakeFiles/nlopt.dir/src/algs/mma/ccsa_quadratic.c.o [ 26%] Building C object CMakeFiles/nlopt.dir/src/algs/cobyla/cobyla.c.o [ 28%] Building C object CMakeFiles/nlopt.dir/src/algs/newuoa/newuoa.c.o [ 30%] Building C object CMakeFiles/nlopt.dir/src/algs/neldermead/nldrmd.c.o [ 32%] Building C object CMakeFiles/nlopt.dir/src/algs/neldermead/sbplx.c.o [ 34%] Building C object CMakeFiles/nlopt.dir/src/algs/auglag/auglag.c.o [ 36%] Building C object CMakeFiles/nlopt.dir/src/algs/bobyqa/bobyqa.c.o [ 38%] Building C object CMakeFiles/nlopt.dir/src/algs/isres/isres.c.o [ 40%] Building C object CMakeFiles/nlopt.dir/src/algs/slsqp/slsqp.c.o [ 42%] Building C object CMakeFiles/nlopt.dir/src/algs/esch/esch.c.o [ 44%] Building C object CMakeFiles/nlopt.dir/src/api/general.c.o [ 46%] Building C object CMakeFiles/nlopt.dir/src/api/options.c.o [ 48%] Building C object CMakeFiles/nlopt.dir/src/api/optimize.c.o [ 51%] Building C object CMakeFiles/nlopt.dir/src/api/deprecated.c.o [ 53%] Building C object CMakeFiles/nlopt.dir/src/api/f77api.c.o [ 55%] Building C object CMakeFiles/nlopt.dir/src/util/mt19937ar.c.o [ 57%] Building C object CMakeFiles/nlopt.dir/src/util/sobolseq.c.o [ 59%] Building C object CMakeFiles/nlopt.dir/src/util/timer.c.o [ 61%] Building C object CMakeFiles/nlopt.dir/src/util/stop.c.o [ 63%] Building C object CMakeFiles/nlopt.dir/src/util/redblack.c.o [ 65%] Building C object CMakeFiles/nlopt.dir/src/util/qsort_r.c.o [ 67%] Building C object CMakeFiles/nlopt.dir/src/util/rescale.c.o [ 69%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/plis.c.o [ 71%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/plip.c.o [ 73%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/pnet.c.o [ 75%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/mssubs.c.o [ 77%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/pssubs.c.o [ 79%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/global.cc.o [ 81%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/linalg.cc.o [ 83%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/local.cc.o [ 85%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/stogo.cc.o [ 87%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/tools.cc.o [ 89%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/evolvent.cc.o [ 91%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/solver.cc.o [ 93%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/local_optimizer.cc.o [ 95%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/ags.cc.o [ 97%] Linking CXX static library libnlopt.a [100%] Built target nlopt [ 2%] Built target generate-cpp Consolidate compiler generated dependencies of target nlopt [100%] Built target nlopt Install the project... -- Install configuration: "Release" -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/lib64/pkgconfig/nlopt.pc -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/include/nlopt.h -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/include/nlopt.hpp -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/lib64/libnlopt.a -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/share/man/man3/nlopt.3 -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/share/man/man3/nlopt_minimize.3 -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/share/man/man3/nlopt_minimize_constrained.3 -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptLibraryDepends.cmake -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptLibraryDepends-release.cmake -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptConfig.cmake -- Installing: /tmp/th798/27261227/RtmpbSARXv/R.INSTALL28c9f571368253/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptConfigVersion.cmake Moving nlopt/lib64 to nlopt/lib Copying headers found in src/nlopt/include into inst/include /usr/bin/cp src/nlopt/include/nlopt.h src/nlopt/include/nlopt.hpp inst/include/ configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Inlopt/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.cpp -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Inlopt/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init_nloptr.c -o init_nloptr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Inlopt/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nloptr.c -o nloptr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nloptr.so dummy.o init_nloptr.o nloptr.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath nlopt/lib/libnlopt.a installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-nloptr/00new/nloptr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nloptr) * installing *source* package 'prediction' ... ** this is package 'prediction' version '0.3.18' ** package 'prediction' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prediction) * installing *source* package 'RcppProgress' ... ** this is package 'RcppProgress' version '0.4.2' ** package 'RcppProgress' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppProgress) * installing *source* package 'corpcor' ... ** this is package 'corpcor' version '1.6.10' ** package 'corpcor' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (corpcor) * installing *source* package 'tensorA' ... ** this is package 'tensorA' version '0.36.2.1' ** package 'tensorA' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tensora.c -o tensora.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tensorA.so tensora.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-tensorA/00new/tensorA/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tensorA) * installing *source* package 'CompQuadForm' ... ** this is package 'CompQuadForm' version '1.4.4' ** package 'CompQuadForm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c imhof.cpp -o imhof.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qfc.cpp -o qfc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c registerDynamicSymbol.c -o registerDynamicSymbol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ruben.cpp -o ruben.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o CompQuadForm.so imhof.o qfc.o registerDynamicSymbol.o ruben.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-CompQuadForm/00new/CompQuadForm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CompQuadForm) * installing *source* package 'FNN' ... ** this is package 'FNN' version '1.1.4.1' ** package 'FNN' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ANN.cpp -o ANN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_ANN.cpp -o KNN_ANN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_correlation_distance.cpp -o KNN_correlation_distance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_cover_test.cpp -o KNN_cover_test.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_cover_tree.cpp -o KNN_cover_tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_mutual_information.cpp -o KNN_mutual_information.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_fix_rad_search.cpp -o bd_fix_rad_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_pr_search.cpp -o bd_pr_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_search.cpp -o bd_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_tree.cpp -o bd_tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brute.cpp -o brute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init_FNN.c -o init_FNN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_dump.cpp -o kd_dump.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_fix_rad_search.cpp -o kd_fix_rad_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_pr_search.cpp -o kd_pr_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_search.cpp -o kd_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_split.cpp -o kd_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_tree.cpp -o kd_tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_util.cpp -o kd_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c label_point.cpp -o label_point.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c perf.cpp -o perf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o FNN.so ANN.o KNN_ANN.o KNN_correlation_distance.o KNN_cover_test.o KNN_cover_tree.o KNN_mutual_information.o bd_fix_rad_search.o bd_pr_search.o bd_search.o bd_tree.o brute.o init_FNN.o kd_dump.o kd_fix_rad_search.o kd_pr_search.o kd_search.o kd_split.o kd_tree.o kd_util.o label_point.o perf.o rm -f *.o core installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-FNN/00new/FNN/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FNN) * installing *source* package 'mlr3data' ... ** this is package 'mlr3data' version '0.9.0' ** package 'mlr3data' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3data) * installing *source* package 'TH.data' ... ** this is package 'TH.data' version '1.1-5' ** package 'TH.data' successfully unpacked and MD5 sums checked ** using staged installation ** data *** moving datasets to lazyload DB ** demo ** inst ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TH.data) * installing *source* package 'ucminf' ... ** this is package 'ucminf' version '1.2.2' ** package 'ucminf' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c fortran.f -o fortran.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interface.c -o interface.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ucminf.so fortran.o init.o interface.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ucminf/00new/ucminf/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ucminf) * installing *source* package 'prettyunits' ... ** this is package 'prettyunits' version '1.2.0' ** package 'prettyunits' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prettyunits) * installing *source* package 'farver' ... ** this is package 'farver' version '2.1.2' ** package 'farver' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ColorSpace.cpp -o ColorSpace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Comparison.cpp -o Comparison.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Conversion.cpp -o Conversion.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c encode.cpp -o encode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c farver.cpp -o farver.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o farver.so ColorSpace.o Comparison.o Conversion.o encode.o farver.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-farver/00new/farver/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (farver) * installing *source* package 'fs' ... ** this is package 'fs' version '1.6.7' ** package 'fs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c id.cc -o id.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fs.cc -o fs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file.cc -o file.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c path.cc -o path.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getmode.cc -o getmode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c link.cc -o link.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cc -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cc -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dir.cc -o dir.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error.cc -o error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/getmode.cc -o unix/getmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/setmode.c -o bsd/setmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/strmode.c -o bsd/strmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/reallocarray.c -o bsd/reallocarray.o touch libuv-1.44.2/aclocal.m4 && touch libuv-1.44.2/configure && touch libuv-1.44.2/Makefile.in (cd libuv-1.44.2 \ && CC="/packages/gcc/12.2.0-nnbserq/bin/gcc" CPPFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include" CFLAGS="-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -fvisibility=hidden -std=c99" AR="ar" RANLIB="ranlib" LDFLAGS="-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64" LT_MULTI_MODULE=1 ./configure --quiet) /usr/bin/cp .//depcomp conftest.dir make --directory=libuv-1.44.2 \ HAVE_DTRACE=0 make[1]: Entering directory '/tmp/th798/27261227/Rtmpc03bLs/R.INSTALL28d6911443624a/fs/src/libuv-1.44.2' CC src/libuv_la-fs-poll.lo CC src/libuv_la-idna.lo CC src/libuv_la-inet.lo CC src/libuv_la-random.lo CC src/libuv_la-strscpy.lo CC src/libuv_la-threadpool.lo CC src/libuv_la-timer.lo CC src/libuv_la-uv-data-getter-setters.lo CC src/libuv_la-uv-common.lo CC src/libuv_la-version.lo CC src/libuv_la-strtok.lo CC src/unix/libuv_la-async.lo CC src/unix/libuv_la-core.lo CC src/unix/libuv_la-dl.lo CC src/unix/libuv_la-fs.lo CC src/unix/libuv_la-getaddrinfo.lo CC src/unix/libuv_la-getnameinfo.lo CC src/unix/libuv_la-loop-watcher.lo CC src/unix/libuv_la-loop.lo CC src/unix/libuv_la-pipe.lo CC src/unix/libuv_la-poll.lo CC src/unix/libuv_la-process.lo CC src/unix/libuv_la-random-devurandom.lo CC src/unix/libuv_la-signal.lo CC src/unix/libuv_la-stream.lo CC src/unix/libuv_la-tcp.lo CC src/unix/libuv_la-thread.lo CC src/unix/libuv_la-tty.lo CC src/unix/libuv_la-udp.lo CC src/unix/libuv_la-linux-core.lo CC src/unix/libuv_la-linux-inotify.lo CC src/unix/libuv_la-linux-syscalls.lo CC src/unix/libuv_la-procfs-exepath.lo CC src/unix/libuv_la-proctitle.lo CC src/unix/libuv_la-random-getrandom.lo CC src/unix/libuv_la-random-sysctl-linux.lo CC src/unix/libuv_la-epoll.lo CCLD libuv.la make[1]: Leaving directory '/tmp/th798/27261227/Rtmpc03bLs/R.INSTALL28d6911443624a/fs/src/libuv-1.44.2' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fs.so id.o fs.o file.o path.o getmode.o link.o utils.o init.o dir.o error.o unix/getmode.o bsd/setmode.o bsd/strmode.o bsd/reallocarray.o ./libuv-1.44.2/.libs/libuv.pa -pthread installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-fs/00new/fs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fs) * installing *source* package 'whisker' ... ** this is package 'whisker' version '0.4.1' ** package 'whisker' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (whisker) * installing *source* package 'bdsmatrix' ... ** this is package 'bdsmatrix' version '1.3-7' ** package 'bdsmatrix' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_init_bdsmatrix.c -o R_init_bdsmatrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_index1.c -o bdsmatrix_index1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_index2.c -o bdsmatrix_index2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_index3.c -o bdsmatrix_index3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod.c -o bdsmatrix_prod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod2.c -o bdsmatrix_prod2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod3.c -o bdsmatrix_prod3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod4.c -o bdsmatrix_prod4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chinv4.c -o chinv4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chinv5.c -o chinv5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cholesky4.c -o cholesky4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cholesky5.c -o cholesky5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chsolve4.c -o chsolve4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chsolve5.c -o chsolve5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmatrix.c -o dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gcback.c -o gcback.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gchol.c -o gchol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gchol_bds.c -o gchol_bds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bdsmatrix.so R_init_bdsmatrix.o bdsmatrix_index1.o bdsmatrix_index2.o bdsmatrix_index3.o bdsmatrix_prod.o bdsmatrix_prod2.o bdsmatrix_prod3.o bdsmatrix_prod4.o chinv4.o chinv5.o cholesky4.o cholesky5.o chsolve4.o chsolve5.o dmatrix.o gcback.o gchol.o gchol_bds.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-bdsmatrix/00new/bdsmatrix/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'diag' from package 'base' in package 'bdsmatrix' Creating a generic function for 'diag<-' from package 'base' in package 'bdsmatrix' Creating a new generic function for 'backsolve' in package 'bdsmatrix' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bdsmatrix) * installing *source* package 'SparseM' ... ** this is package 'SparseM' version '1.84-2' ** package 'SparseM' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bckslv.f -o bckslv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c chol.f -o chol.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c chol2csr.f -o chol2csr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cholesky.f -o cholesky.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c csr.f -o csr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c extract.f -o extract.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sparskit.f -o sparskit.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c subscr.f -o subscr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o SparseM.so bckslv.o chol.o chol2csr.o cholesky.o csr.o extract.o init.o sparskit.o subscr.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-SparseM/00new/SparseM/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'diag' from package 'base' in package 'SparseM' Creating a generic function for 'diag<-' from package 'base' in package 'SparseM' Creating a generic function for 'norm' from package 'base' in package 'SparseM' Creating a generic function for 'backsolve' from package 'base' in package 'SparseM' Creating a generic function for 'forwardsolve' from package 'base' in package 'SparseM' Creating a generic function for 'model.response' from package 'stats' in package 'SparseM' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SparseM) * installing *source* package 'MatrixModels' ... ** this is package 'MatrixModels' version '0.5-4' ** package 'MatrixModels' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MatrixModels) * installing *source* package 'randomForest' ... ** this is package 'randomForest' version '4.7-1.2' ** package 'randomForest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c classTree.c -o classTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regTree.c -o regTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regrf.c -o regrf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rf.c -o rf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rfsub.f -o rfsub.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rfutils.c -o rfutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o randomForest.so classTree.o init.o regTree.o regrf.o rf.o rfsub.o rfutils.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-randomForest/00new/randomForest/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (randomForest) * installing *source* package 'RColorBrewer' ... ** this is package 'RColorBrewer' version '1.1-3' ** package 'RColorBrewer' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RColorBrewer) * installing *source* package 'plotrix' ... ** this is package 'plotrix' version '3.8-14' ** package 'plotrix' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plotrix) * installing *source* package 'curl' ... ** this is package 'curl' version '7.0.0' ** package 'curl' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lcurl ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callbacks.c -o callbacks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c curl.c -o curl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c download.c -o download.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dryrun.c -o dryrun.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c escape.c -o escape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fetch.c -o fetch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c findport.c -o findport.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c form.c -o form.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getdate.c -o getdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c handle.c -o handle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ieproxy.c -o ieproxy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interrupt.c -o interrupt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multi.c -o multi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nslookup.c -o nslookup.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c options.c -o options.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reflist.c -o reflist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c split.c -o split.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ssl.c -o ssl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c typechecking.c -o typechecking.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c urlparser.c -o urlparser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winidn.c -o winidn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c writer.c -o writer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o curl.so callbacks.o curl.o download.o dryrun.o escape.o fetch.o findport.o form.o getdate.o handle.o ieproxy.o init.o interrupt.o multi.o nslookup.o options.o reflist.o split.o ssl.o typechecking.o urlparser.o utils.o version.o winidn.o writer.o -L/home/th798/.conda/envs/emacs1/lib -lcurl installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-curl/00new/curl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (curl) * installing *source* package 'png' ... ** this is package 'png' version '0.1-8' ** package 'png' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include `libpng-config --cflags` -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include `libpng-config --cflags` -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.c -o read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include `libpng-config --cflags` -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.c -o write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o png.so dummy.o read.o write.o -L/home/th798/.conda/envs/emacs1/lib -lpng16 -lm -lz -lm installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-png/00new/png/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (png) * installing *source* package 'rappdirs' ... ** this is package 'rappdirs' version '0.3.4' ** package 'rappdirs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c win-path.c -o win-path.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rappdirs.so init.o win-path.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rappdirs/00new/rappdirs/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rappdirs) * installing *source* package 'evaluate' ... ** this is package 'evaluate' version '1.0.5' ** package 'evaluate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (evaluate) * installing *source* package 'xfun' ... ** this is package 'xfun' version '0.56' ** package 'xfun' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rand_lcg.c -o rand_lcg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xfun.so base64.o init.o rand_lcg.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-xfun/00new/xfun/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xfun) * installing *source* package 'colorspace' ... ** this is package 'colorspace' version '2.1-2' ** package 'colorspace' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colorspace.c -o colorspace.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o colorspace.so colorspace.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-colorspace/00new/colorspace/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (colorspace) * installing *source* package 'fit.models' ... ** this is package 'fit.models' version '0.64' ** package 'fit.models' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fit.models) * installing *source* package 'DEoptimR' ... ** this is package 'DEoptimR' version '1.1-4' ** package 'DEoptimR' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DEoptimR) * installing *source* package 'xtable' ... ** this is package 'xtable' version '1.8-8' ** package 'xtable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xtable) * installing *source* package 'RcppParallel' ... ** this is package 'RcppParallel' version '5.1.11-2' ** package 'RcppParallel' successfully unpacked and MD5 sums checked ** using staged installation ** preparing to configure package 'RcppParallel' ... 'config' variable 'CXX11' is defunct *** configured file: 'R/tbb-autodetected.R.in' => 'R/tbb-autodetected.R' *** configured file: 'src/Makevars.in' => 'src/Makevars' *** configured file: 'src/install.libs.R.in' => 'src/install.libs.R' ** finished configure for package 'RcppParallel' ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' (tbb) Building TBB using bundled sources ... /usr/bin/cp -R tbb/include/index.html tbb/include/serial tbb/include/tbb ../inst/include/ make[1]: Entering directory '/tmp/th798/27261227/Rtmp50RcKO/R.INSTALL28f7583800f930/RcppParallel/src/tbb/src' OS: linux arch=intel64 compiler=gcc runtime=cc12.2.0_libc2.28_kernel4.18.0 tbb_build_prefix=linux_intel64_gcc_cc12.2.0_libc2.28_kernel4.18.0 work_dir=/tmp/th798/27261227/Rtmp50RcKO/R.INSTALL28f7583800f930/RcppParallel/src/build/linux_intel64_gcc_cc12.2.0_libc2.28_kernel4.18.0_release make[1]: Leaving directory '/tmp/th798/27261227/Rtmp50RcKO/R.INSTALL28f7583800f930/RcppParallel/src/tbb/src' (tbb) TBB compilation finished successfully. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -std=c++0x -DRCPP_PARALLEL_USE_TBB=1 -DTBB_SUPPRESS_DEPRECATED_MESSAGES=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -std=c++0x -DRCPP_PARALLEL_USE_TBB=1 -DTBB_SUPPRESS_DEPRECATED_MESSAGES=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c options.cpp -o options.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -std=c++0x -DRCPP_PARALLEL_USE_TBB=1 -DTBB_SUPPRESS_DEPRECATED_MESSAGES=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tbb.cpp -o tbb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppParallel.so init.o options.o tbb.o installing via 'install.libs.R' to /tmp/th798/27261227/R-devel/841/library/00LOCK-RcppParallel/00new/RcppParallel ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppParallel) * installing *source* package 'VGAM' ... ** this is package 'VGAM' version '1.1-14' ** package 'VGAM' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c VGAM_init.c -o VGAM_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c caqo3.c -o caqo3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ei.f -o ei.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c fgam.f -o fgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gautr.c -o gautr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lerchphi.c -o lerchphi.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lms.f -o lms.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c muxr3.c -o muxr3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rgam.f -o rgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rgam3.c -o rgam3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c specfun3.c -o specfun3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tyeepolygamma.f -o tyeepolygamma.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tyeepolygamma3.c -o tyeepolygamma3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vdigami.f -o vdigami.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c veigen.f -o veigen.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vgam.f -o vgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vgam3.c -o vgam3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vlinpack1.f -o vlinpack1.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vlinpack2.f -o vlinpack2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vlinpack3.f -o vlinpack3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vmux.f -o vmux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vmux3.c -o vmux3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zeta3.c -o zeta3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o VGAM.so VGAM_init.o caqo3.o ei.o fgam.o gautr.o lerchphi.o lms.o muxr3.o rgam.o rgam3.o specfun3.o tyeepolygamma.o tyeepolygamma3.o vdigami.o veigen.o vgam.o vgam3.o vlinpack1.o vlinpack2.o vlinpack3.o vmux.o vmux3.o zeta3.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-VGAM/00new/VGAM/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (VGAM) * installing *source* package 'commonmark' ... ** this is package 'commonmark' version '2.0.0' ** package 'commonmark' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions.c -o extensions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrapper.c -o wrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/cmark.c -o cmark/cmark.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/node.c -o cmark/node.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/iterator.c -o cmark/iterator.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/blocks.c -o cmark/blocks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/inlines.c -o cmark/inlines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/scanners.c -o cmark/scanners.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/utf8.c -o cmark/utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/buffer.c -o cmark/buffer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/references.c -o cmark/references.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/render.c -o cmark/render.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/man.c -o cmark/man.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/xml.c -o cmark/xml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/html.c -o cmark/html.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/commonmark.c -o cmark/commonmark.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/latex.c -o cmark/latex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/houdini_href_e.c -o cmark/houdini_href_e.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/houdini_html_e.c -o cmark/houdini_html_e.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/houdini_html_u.c -o cmark/houdini_html_u.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/cmark_ctype.c -o cmark/cmark_ctype.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/arena.c -o cmark/arena.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/linked_list.c -o cmark/linked_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/plugin.c -o cmark/plugin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/registry.c -o cmark/registry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/syntax_extension.c -o cmark/syntax_extension.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/plaintext.c -o cmark/plaintext.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/footnotes.c -o cmark/footnotes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/map.c -o cmark/map.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/autolink.c -o extensions/autolink.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/core-extensions.c -o extensions/core-extensions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/ext_scanners.c -o extensions/ext_scanners.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/strikethrough.c -o extensions/strikethrough.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/table.c -o extensions/table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/tagfilter.c -o extensions/tagfilter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/tasklist.c -o extensions/tasklist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o commonmark.so extensions.o init.o wrapper.o -Lcmark -lstatcmark installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-commonmark/00new/commonmark/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (commonmark) * installing *source* package 'base64enc' ... ** this is package 'base64enc' version '0.1-6' ** package 'base64enc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uriencode.c -o uriencode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o base64enc.so base64.o dummy.o uriencode.o utf8.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-base64enc/00new/base64enc/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (base64enc) * installing *source* package 'pkgconfig' ... ** this is package 'pkgconfig' version '2.0.3' ** package 'pkgconfig' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgconfig) * installing *source* package 'backports' ... ** this is package 'backports' version '1.5.0' ** package 'backports' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsElt.c -o dotsElt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsLength.c -o dotsLength.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsNames.c -o dotsNames.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o backports.so dotsElt.o dotsLength.o dotsNames.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-backports/00new/backports/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (backports) * installing *source* package 'generics' ... ** this is package 'generics' version '0.1.4' ** package 'generics' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (generics) * installing *source* package 'Formula' ... ** this is package 'Formula' version '1.2-5' ** package 'Formula' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Formula) * installing *source* package 'insight' ... ** this is package 'insight' version '1.4.6' ** package 'insight' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (insight) * installing *source* package 'rlang' ... ** this is package 'rlang' version '1.1.7' ** package 'rlang' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c capture.c -o capture.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.c -o internal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rlang.so capture.o internal.o rlang.o version.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rlang/00new/rlang/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rlang) * installing *source* package 'aod' ... ** this is package 'aod' version '1.3.3' ** package 'aod' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (aod) * installing *source* package 'BH' ... ** this is package 'BH' version '1.90.0-1' ** package 'BH' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BH) * installing *source* package 'carData' ... ** this is package 'carData' version '3.0-6' ** package 'carData' successfully unpacked and MD5 sums checked ** using staged installation ** data *** moving datasets to lazyload DB ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (carData) * installing *source* package 'countrycode' ... ** this is package 'countrycode' version '1.7.0' ** package 'countrycode' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (countrycode) * installing *source* package 'dbarts' ... ** this is package 'dbarts' version '0.9-32' ** package 'dbarts' successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed checking how to run the C preprocessor... /packages/gcc/12.2.0-nnbserq/bin/gcc -E checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 option to enable C++11 features... -std=gnu++11 checking how to run the C++ preprocessor... /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 -E checking for C/C++ restrict keyword... no checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking whether byte ordering is bigendian... no checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking for C compiler vendor... gnu checking whether C compiler accepts ... yes checking whether C compiler accepts -msse2... yes checking whether C compiler accepts -msse4.1... yes checking whether C compiler accepts -mavx... yes checking whether C compiler accepts -mavx2... yes checking for a sed that does not truncate output... /usr/bin/sed checking for egrep -e... /usr/bin/grep -E checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc is Clang... no checking whether pthreads work with "-pthread" and "-lpthread"... yes checking for joinable pthread attribute... PTHREAD_CREATE_JOINABLE checking whether more special flags are required for pthreads... no checking for PTHREAD_PRIO_INHERIT... yes checking for cstdint... yes checking for sys/time.h... yes checking for unistd.h... (cached) yes checking for malloc.h... yes checking for int64_t... yes checking for uint64_t... yes checking size of size_t... 8 checking alignment of void*... 8 checking for gettimeofday... yes checking for clock_gettime... yes checking for ffs... yes checking for size_t... yes checking for working alloca.h... yes checking for alloca... yes checking for working posix_memalign... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 options needed to detect all undeclared functions... none needed checking whether strerror_r is declared... yes checking whether strerror_r returns char *... yes checking for snprintf... yes checking if g++ supports namespace std... yes checking whether snprintf is in std::... yes checking for log1p... yes checking whether log1p is in std::... no configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.hpp config.status: creating src/dbarts/config.hpp config.status: creating src/misc/config.h config.status: creating src/external/config.h config.status: creating inst/include/dbarts/types.hpp config.status: creating src/include/misc/types.h ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_C_interface.cpp -o R_C_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface.cpp -o R_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_common.cpp -o R_interface_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_crossvalidate.cpp -o R_interface_crossvalidate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_rbart.cpp -o R_interface_rbart.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_sampler.cpp -o R_interface_sampler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crossvalidate.cpp -o crossvalidate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c guessNumCores.cpp -o guessNumCores.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c makeModelMatrixFromDataFrame.c -o makeModelMatrixFromDataFrame.o make[1]: Entering directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/dbarts' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c bartFit.cpp -o bartFit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c binaryIO.cpp -o binaryIO.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c birthDeathRule.cpp -o birthDeathRule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c changeRule.cpp -o changeRule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c functions.cpp -o functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c likelihood.cpp -o likelihood.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c node.cpp -o node.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c parameterPrior.cpp -o parameterPrior.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c state.cpp -o state.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c swapRule.cpp -o swapRule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c tree.cpp -o tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c treePrior.cpp -o treePrior.o ar rv ../dbarts.a bartFit.o binaryIO.o birthDeathRule.o changeRule.o functions.o likelihood.o node.o parameterPrior.o state.o swapRule.o tree.o treePrior.o ar: creating ../dbarts.a a - bartFit.o a - binaryIO.o a - birthDeathRule.o a - changeRule.o a - functions.o a - likelihood.o a - node.o a - parameterPrior.o a - state.o a - swapRule.o a - tree.o a - treePrior.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/dbarts' make[1]: Entering directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/external' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c io.c -o io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c randomBase.c -o randomBase.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c randomNorm.c -o randomNorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c random.c -o random.o ar rv ../external.a io.o randomBase.o randomNorm.o random.o ar: creating ../external.a a - io.o a - randomBase.o a - randomNorm.o a - random.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/external' make[1]: Entering directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/misc' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -msse2 -c adaptiveRadixTree.c -o adaptiveRadixTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c binaryIO.c -o binaryIO.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c blockingThreadManager.c -o blockingThreadManager.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c hierarchicalThreadManager.c -o hierarchicalThreadManager.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra.c -o linearAlgebra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c moments.c -o moments.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition.c -o partition.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c simd.c -o simd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c string.c -o string.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c thread.c -o thread.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_sse2.c -o linearAlgebra_sse2.c /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-devel/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_sse2.c -o linearAlgebra_sse2.c echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c moments_sse2.c -o moments_sse2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-devel/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c moments_sse2.c -o moments_sse2.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse2.c -o partition_sse2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-devel/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse2.c -o partition_sse2.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse4_1.c -o partition_sse4_1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-devel/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse4_1.c -o partition_sse4_1.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_avx.c -o linearAlgebra_avx.c /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-devel/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_avx.c -o linearAlgebra_avx.c echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_avx2.c -o partition_avx2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-devel/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_avx2.c -o partition_avx2.o ar rv ../misc.a adaptiveRadixTree.o binaryIO.o blockingThreadManager.o hierarchicalThreadManager.o linearAlgebra.o moments.o partition.o simd.o string.o thread.o linearAlgebra_sse2.o moments_sse2.o partition_sse2.o partition_sse4_1.o linearAlgebra_avx.o partition_avx2.o ar: creating ../misc.a a - adaptiveRadixTree.o a - binaryIO.o a - blockingThreadManager.o a - hierarchicalThreadManager.o a - linearAlgebra.o a - moments.o a - partition.o a - simd.o a - string.o a - thread.o a - linearAlgebra_sse2.o a - moments_sse2.o a - partition_sse2.o a - partition_sse4_1.o a - linearAlgebra_avx.o a - partition_avx2.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/misc' make[1]: Entering directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/rc' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c bounds.c -o bounds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c util.c -o util.o ar rv ../rc.a bounds.o util.o ar: creating ../rc.a a - bounds.o a - util.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpdgUGN7/R.INSTALL291ec861f7f006/dbarts/src/rc' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o dbarts.so R_C_interface.o R_interface.o R_interface_common.o R_interface_crossvalidate.o R_interface_rbart.o R_interface_sampler.o crossvalidate.o guessNumCores.o makeModelMatrixFromDataFrame.o dbarts.a external.a misc.a rc.a -pthread installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-dbarts/00new/dbarts/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dbarts) * installing *source* package 'gamlss.dist' ... ** this is package 'gamlss.dist' version '6.1-1' ** package 'gamlss.dist' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ST3.c -o ST3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cdfSICHEL.c -o cdfSICHEL.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dDPOgetC5_C.c -o dDPOgetC5_C.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gamlss.dist_init.c -o gamlss.dist_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getBI_C2.c -o getBI_C2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tocdf.c -o tocdf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tocdfSIbis.c -o tocdfSIbis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofyPIG1.c -o tofyPIG1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofyPIG2.c -o tofyPIG2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySI1.c -o tofySI1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySI2.c -o tofySI2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySICHEL1.c -o tofySICHEL1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySICHEL2.c -o tofySICHEL2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofydel1.c -o tofydel1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofydel2.c -o tofydel2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gamlss.dist.so ST3.o cdfSICHEL.o dDPOgetC5_C.o gamlss.dist_init.o getBI_C2.o tocdf.o tocdfSIbis.o tofyPIG1.o tofyPIG2.o tofySI1.o tofySI2.o tofySICHEL1.o tofySICHEL2.o tofydel1.o tofydel2.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-gamlss.dist/00new/gamlss.dist/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gamlss.dist) * installing *source* package 'magrittr' ... ** this is package 'magrittr' version '2.0.4' ** package 'magrittr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pipe.c -o pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o magrittr.so pipe.o utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-magrittr/00new/magrittr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (magrittr) * installing *source* package 'mvtnorm' ... ** this is package 'mvtnorm' version '1.3-3' ** package 'mvtnorm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c C_FORTRAN_interface.c -o C_FORTRAN_interface.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lpmvnorm.c -o lpmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ltMatrices.c -o ltMatrices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miwa.c -o miwa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mvt.f -o mvt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mvtnorm-init.c -o mvtnorm-init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tvpack.f -o tvpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mvtnorm.so C_FORTRAN_interface.o lpmvnorm.o ltMatrices.o miwa.o mvt.o mvtnorm-init.o tvpack.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mvtnorm/00new/mvtnorm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvtnorm) * installing *source* package 'nanoparquet' ... ** this is package 'nanoparquet' version '0.4.3' ** package 'nanoparquet' successfully unpacked and MD5 sums checked ** using staged installation ** using 28 processors (unless configured differently in Makeconf). ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib/ParquetReader.cpp -o lib/ParquetReader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RParquetReader.cpp -o RParquetReader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RParquetAppender.cpp -o RParquetAppender.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RParquetOutFile.cpp -o RParquetOutFile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-utils.cpp -o r-utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rwrapper.cpp -o rwrapper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c protect.cpp -o protect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read2.cpp -o read2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write2.cpp -o write2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp-utils.cpp -o cpp-utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read-metadata.cpp -o read-metadata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read-pages.cpp -o read-pages.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arrow-schema.cpp -o arrow-schema.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.cpp -o base64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-base64.cpp -o r-base64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snappy.cpp -o snappy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c encodings.cpp -o encodings.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dictionary-encoding.cpp -o dictionary-encoding.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test.cpp -o test.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib/ParquetOutFile.cpp -o lib/ParquetOutFile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib/RleBpDecoder.cpp -o lib/RleBpDecoder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parquet/parquet_types.cpp -o parquet/parquet_types.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thrift/protocol/TProtocol.cpp -o thrift/protocol/TProtocol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thrift/transport/TTransportException.cpp -o thrift/transport/TTransportException.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thrift/transport/TBufferTransports.cpp -o thrift/transport/TBufferTransports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastpforlib/bitpacking.cpp -o fastpforlib/bitpacking.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snappy/snappy.cc -o snappy/snappy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snappy/snappy-sinksource.cc -o snappy/snappy-sinksource.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miniz/miniz.cpp -o miniz/miniz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/entropy_common.cpp -o zstd/common/entropy_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/error_private.cpp -o zstd/common/error_private.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/fse_decompress.cpp -o zstd/common/fse_decompress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/xxhash.cpp -o zstd/common/xxhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/zstd_common.cpp -o zstd/common/zstd_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/huf_decompress.cpp -o zstd/decompress/huf_decompress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/zstd_ddict.cpp -o zstd/decompress/zstd_ddict.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/zstd_decompress.cpp -o zstd/decompress/zstd_decompress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/zstd_decompress_block.cpp -o zstd/decompress/zstd_decompress_block.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/fse_compress.cpp -o zstd/compress/fse_compress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/hist.cpp -o zstd/compress/hist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/huf_compress.cpp -o zstd/compress/huf_compress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress.cpp -o zstd/compress/zstd_compress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress_literals.cpp -o zstd/compress/zstd_compress_literals.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress_sequences.cpp -o zstd/compress/zstd_compress_sequences.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress_superblock.cpp -o zstd/compress/zstd_compress_superblock.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_double_fast.cpp -o zstd/compress/zstd_double_fast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_fast.cpp -o zstd/compress/zstd_fast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_lazy.cpp -o zstd/compress/zstd_lazy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_ldm.cpp -o zstd/compress/zstd_ldm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_opt.cpp -o zstd/compress/zstd_opt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nanoparquet.so lib/ParquetReader.o RParquetReader.o RParquetAppender.o RParquetOutFile.o r-utils.o rwrapper.o protect.o read2.o write2.o cpp-utils.o read-metadata.o read-pages.o arrow-schema.o base64.o r-base64.o snappy.o encodings.o dictionary-encoding.o test.o lib/ParquetOutFile.o lib/RleBpDecoder.o parquet/parquet_types.o thrift/protocol/TProtocol.o thrift/transport/TTransportException.o thrift/transport/TBufferTransports.o fastpforlib/bitpacking.o snappy/snappy.o snappy/snappy-sinksource.o miniz/miniz.o zstd/common/entropy_common.o zstd/common/error_private.o zstd/common/fse_decompress.o zstd/common/xxhash.o zstd/common/zstd_common.o zstd/decompress/huf_decompress.o zstd/decompress/zstd_ddict.o zstd/decompress/zstd_decompress.o zstd/decompress/zstd_decompress_block.o zstd/compress/fse_compress.o zstd/compress/hist.o zstd/compress/huf_compress.o zstd/compress/zstd_compress.o zstd/compress/zstd_compress_literals.o zstd/compress/zstd_compress_sequences.o zstd/compress/zstd_compress_superblock.o zstd/compress/zstd_double_fast.o zstd/compress/zstd_fast.o zstd/compress/zstd_lazy.o zstd/compress/zstd_ldm.o zstd/compress/zstd_opt.o installing via 'install.libs.R' to /tmp/th798/27261227/R-devel/841/library/00LOCK-nanoparquet/00new/nanoparquet ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nanoparquet) * installing *source* package 'numDeriv' ... ** this is package 'numDeriv' version '2016.8-1.1' ** package 'numDeriv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (numDeriv) * installing *source* package 'pbapply' ... ** this is package 'pbapply' version '1.7-4' ** package 'pbapply' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbapply) * installing *source* package 'polspline' ... ** this is package 'polspline' version '1.1.25' ** package 'polspline' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c allpack.f -o allpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hareall.c -o hareall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c heftall.c -o heftall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lsdall.c -o lsdall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lspecall.c -o lspecall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nlsd.c -o nlsd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c polyall.c -o polyall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c polymars.c -o polymars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c registerDynamicSymbol.c -o registerDynamicSymbol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o polspline.so allpack.o hareall.o heftall.o lsdall.o lspecall.o nlsd.o polyall.o polymars.o registerDynamicSymbol.o -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-polspline/00new/polspline/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (polspline) * installing *source* package 'pscl' ... ** this is package 'pscl' version '1.5.9' ** package 'pscl' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c IDEAL.c -o IDEAL.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bayesreg.c -o bayesreg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c check.c -o check.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chol.c -o chol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crossprod.c -o crossprod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmatTOdvec.c -o dmatTOdvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtnorm.c -o dtnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dvecTOdmat.c -o dvecTOdmat.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gaussj.c -o gaussj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pi.c -o pi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predict.c -o predict.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c printmat.c -o printmat.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c renormalize.c -o renormalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rigamma.c -o rigamma.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmvnorm.c -o rmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updateb.c -o updateb.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updatex.c -o updatex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updatey.c -o updatey.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xchol.c -o xchol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xreg.c -o xreg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pscl.so IDEAL.o bayesreg.o check.o chol.o crossprod.o dmatTOdvec.o dtnorm.o dvecTOdmat.o gaussj.o init.o pi.o predict.o printmat.o renormalize.o rigamma.o rmvnorm.o updateb.o updatex.o updatey.o util.o xchol.o xreg.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-pscl/00new/pscl/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pscl) * installing *source* package 'Rdatasets' ... ** this is package 'Rdatasets' version '0.0.1' ** package 'Rdatasets' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rdatasets) * installing *source* package 'remotes' ... ** this is package 'remotes' version '2.5.0' ** package 'remotes' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (remotes) * installing *source* package 'rstudioapi' ... ** this is package 'rstudioapi' version '0.18.0' ** package 'rstudioapi' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstudioapi) * installing *source* package 'rsvg' ... ** this is package 'rsvg' version '2.7.0' ** package 'rsvg' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-pthread -I/home/th798/.conda/envs/emacs1/include/librsvg-2.0 -I/home/th798/.conda/envs/emacs1/include/gdk-pixbuf-2.0 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/cairo -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/pixman-1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lrsvg-2 -lm -lgio-2.0 -lgdk_pixbuf-2.0 -lgobject-2.0 -lglib-2.0 -lcairo ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -I/home/th798/.conda/envs/emacs1/include/librsvg-2.0 -I/home/th798/.conda/envs/emacs1/include/gdk-pixbuf-2.0 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/cairo -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/pixman-1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.cc -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -I/home/th798/.conda/envs/emacs1/include/librsvg-2.0 -I/home/th798/.conda/envs/emacs1/include/gdk-pixbuf-2.0 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/cairo -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/pixman-1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rsvg.c -o rsvg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rsvg.so dummy.o rsvg.o -L/home/th798/.conda/envs/emacs1/lib -lrsvg-2 -lm -lgio-2.0 -lgdk_pixbuf-2.0 -lgobject-2.0 -lglib-2.0 -lcairo installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rsvg/00new/rsvg/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rsvg) * installing *source* package 'scam' ... ** this is package 'scam' version '1.2-21' ** package 'scam' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c scam_init.c -o scam_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c someone.c -o someone.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o scam.so scam_init.o someone.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-scam/00new/scam/libs ** R ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scam) * installing *source* package 'tictoc' ... ** this is package 'tictoc' version '1.2.1' ** package 'tictoc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tictoc) * installing *source* package 'tinytable' ... ** this is package 'tinytable' version '0.16.0' ** package 'tinytable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'nrow' from package 'base' in package 'tinytable' Creating a generic function for 'ncol' from package 'base' in package 'tinytable' Creating a generic function for 'colnames' from package 'base' in package 'tinytable' Creating a generic function for 'colnames<-' from package 'base' in package 'tinytable' ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinytable) * installing *source* package 'tinytest' ... ** this is package 'tinytest' version '1.4.1' ** package 'tinytest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinytest) * installing *source* package 'titanic' ... ** this is package 'titanic' version '0.1.0' ** package 'titanic' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (titanic) * installing *source* package 'tsModel' ... ** this is package 'tsModel' version '0.6-2' ** package 'tsModel' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tsModel) * installing *source* package 'withr' ... ** this is package 'withr' version '3.0.2' ** package 'withr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (withr) * installing *source* package 'yaml' ... ** this is package 'yaml' version '2.3.12' ** package 'yaml' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.c -o api.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dumper.c -o dumper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c emitter.c -o emitter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c implicit.c -o implicit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loader.c -o loader.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parser.c -o parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_emit.c -o r_emit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_ext.c -o r_ext.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_parse.c -o r_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reader.c -o reader.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c scanner.c -o scanner.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c writer.c -o writer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o yaml.so api.o dumper.o emitter.o implicit.o loader.o parser.o r_emit.o r_ext.o r_parse.o reader.o scanner.o writer.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-yaml/00new/yaml/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yaml) * installing *source* package 'progressr' ... ** this is package 'progressr' version '0.18.0' ** package 'progressr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (progressr) * installing *source* package 'diagram' ... ** this is package 'diagram' version '1.6.5' ** package 'diagram' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diagram) * installing *source* package 'e1071' ... ** this is package 'e1071' version '1.7-17' ** package 'e1071' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rsvm.c -o Rsvm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmeans.c -o cmeans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cshell.c -o cshell.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c floyd.c -o floyd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c svm.cpp -o svm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o e1071.so Rsvm.o cmeans.o cshell.o floyd.o init.o svm.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-e1071/00new/e1071/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (e1071) * installing *source* package 'PRROC' ... ** this is package 'PRROC' version '1.4' ** package 'PRROC' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PRROC) * installing *source* package 'prabclus' ... ** this is package 'prabclus' version '2.3-5' ** package 'prabclus' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prabclus) * installing *source* package 'lhs' ... ** this is package 'lhs' version '1.2.1' ** package 'lhs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c COrthogonalArray.cpp -o COrthogonalArray.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GaloisField.cpp -o GaloisField.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ak3.cpp -o ak3.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c akconst.cpp -o akconst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c akn.cpp -o akn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c construct.cpp -o construct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c geneticLHS.cpp -o geneticLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c improvedLHS.cpp -o improvedLHS.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lhs_r.cpp -o lhs_r.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lhs_r_utilities.cpp -o lhs_r_utilities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c maximinLHS.cpp -o maximinLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oa.cpp -o oa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oaLHS.cpp -o oaLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oa_r.cpp -o oa_r.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oa_r_utils.cpp -o oa_r_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oalhs_r.cpp -o oalhs_r.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optSeededLHS.cpp -o optSeededLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optimumLHS.cpp -o optimumLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c primes.cpp -o primes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c randomLHS.cpp -o randomLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runif.cpp -o runif.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rutils.cpp -o rutils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilityLHS.cpp -o utilityLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lhs.so COrthogonalArray.o GaloisField.o ak3.o akconst.o akn.o construct.o geneticLHS.o improvedLHS.o init.o lhs_r.o lhs_r_utilities.o maximinLHS.o oa.o oaLHS.o oa_r.o oa_r_utils.o oalhs_r.o optSeededLHS.o optimumLHS.o primes.o randomLHS.o runif.o rutils.o utilityLHS.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lhs/00new/lhs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lhs) * installing *source* package 'litedown' ... ** this is package 'litedown' version '0.9' ** package 'litedown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (litedown) * installing *source* package 'plyr' ... ** this is package 'plyr' version '1.8.9' ** package 'plyr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loop_apply.c -o loop_apply.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c split-numeric.cpp -o split-numeric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o plyr.so RcppExports.o loop_apply.o split-numeric.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-plyr/00new/plyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plyr) * installing *source* package 'cachem' ... ** this is package 'cachem' version '1.1.0' ** package 'cachem' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cache.c -o cache.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cachem.so cache.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-cachem/00new/cachem/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cachem) * installing *source* package 'tzdb' ... ** this is package 'tzdb' version '0.5.0' ** package 'tzdb' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.cpp -o api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c names.cpp -o names.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c path.cpp -o path.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tz.cpp -o tz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.cpp -o version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tzdb.so api.o cpp11.o names.o path.o tz.o version.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-tzdb/00new/tzdb/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tzdb) * installing *source* package 'lavaan' ... ** this is package 'lavaan' version '0.6-21' ** package 'lavaan' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lavaan) * installing *source* package 'lgr' ... ** this is package 'lgr' version '0.5.2' ** package 'lgr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lgr) * installing *source* package 'mirai' ... ** this is package 'mirai' version '2.6.1' ** package 'mirai' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mirai) * installing *source* package 'spacefillr' ... ** this is package 'spacefillr' version '0.4.0' ** package 'spacefillr' successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++17 using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c generate_point_functions.cpp -o generate_point_functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o spacefillr.so RcppExports.o generate_point_functions.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-spacefillr/00new/spacefillr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spacefillr) * installing *source* package 'askpass' ... ** this is package 'askpass' version '1.2.1' ** package 'askpass' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c askpass.c -o askpass.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o askpass.so askpass.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-askpass/00new/askpass/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (askpass) * installing *source* package 'lobstr' ... ** this is package 'lobstr' version '1.2.0' ** package 'lobstr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c address.cpp -o address.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inspect.cpp -o inspect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lobstr.cpp -o lobstr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c size.cpp -o size.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lobstr.so address.o cpp11.o inspect.o lobstr.o rlang.o size.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lobstr/00new/lobstr/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lobstr) * installing *source* package 'pcaPP' ... ** this is package 'pcaPP' version '2.0-5' ** package 'pcaPP' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c L1Median_HoCr.cpp -o L1Median_HoCr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c L1Median_VardiZhang.cpp -o L1Median_VardiZhang.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ML_meal.cpp -o ML_meal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ML_package.cpp -o ML_package.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ML_passrng.cpp -o ML_passrng.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c PCAgrid.cpp -o PCAgrid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c PCAproj.cpp -o PCAproj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_meal.cpp -o R_meal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_meal_BLAS.cpp -o R_meal_BLAS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_package.cpp -o R_package.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cov.kendall.cpp -o cov.kendall.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hess.cpp -o hess.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c l1median.cpp -o l1median.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c outSDo.cpp -o outSDo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pcaPP.cpp -o pcaPP.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pcaPP_init.c -o pcaPP_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qnn.cpp -o qnn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c smat.cpp -o smat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pcaPP.so L1Median_HoCr.o L1Median_VardiZhang.o ML_meal.o ML_package.o ML_passrng.o PCAgrid.o PCAproj.o R_meal.o R_meal_BLAS.o R_package.o cov.kendall.o hess.o l1median.o outSDo.o pcaPP.o pcaPP_init.o qnn.o smat.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-pcaPP/00new/pcaPP/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pcaPP) * installing *source* package 'xts' ... ** this is package 'xts' version '0.14.2' ** package 'xts' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c add_class.c -o add_class.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any.c -o any.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attr.c -o attr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binsearch.c -o binsearch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coredata.c -o coredata.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dimnames.c -o dimnames.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endpoints.c -o endpoints.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extract_col.c -o extract_col.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isOrdered.c -o isOrdered.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isXts.c -o isXts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lag.c -o lag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c merge.c -o merge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c na.c -o na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period_apply.c -o period_apply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period_arithmetic.c -o period_arithmetic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period_quantile.c -o period_quantile.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbind.c -o rbind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rollfun.c -o rollfun.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runSum.c -o runSum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c startofyear.c -o startofyear.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c toperiod.c -o toperiod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c totalcols.c -o totalcols.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tryXts.c -o tryXts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unique.time.c -o unique.time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xts.so add_class.o any.o attr.o binsearch.o coredata.o dimnames.o endpoints.o extract_col.o init.o isOrdered.o isXts.o lag.o merge.o na.o period_apply.o period_arithmetic.o period_quantile.o rbind.o rollfun.o runSum.o startofyear.o subset.o toperiod.o totalcols.o tryXts.o unique.time.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-xts/00new/xts/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xts) * installing *source* package 'timechange' ... ** this is package 'timechange' version '0.4.0' ** package 'timechange' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common.cpp -o common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get.cpp -o get.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c round.cpp -o round.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tzone.cpp -o tzone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c update.cpp -o update.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_fixed.cc -o cctz/src/time_zone_fixed.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_if.cc -o cctz/src/time_zone_if.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_impl.cc -o cctz/src/time_zone_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_info.cc -o cctz/src/time_zone_info.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_libc.cc -o cctz/src/time_zone_libc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_lookup.cc -o cctz/src/time_zone_lookup.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_posix.cc -o cctz/src/time_zone_posix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/zone_info_source.cc -o cctz/src/zone_info_source.o ar rcs libcctz.a ./cctz/src/time_zone_fixed.o ./cctz/src/time_zone_if.o ./cctz/src/time_zone_impl.o ./cctz/src/time_zone_info.o ./cctz/src/time_zone_libc.o ./cctz/src/time_zone_lookup.o ./cctz/src/time_zone_posix.o ./cctz/src/zone_info_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o timechange.so common.o cpp11.o get.o parse.o round.o tzone.o update.o -L. -lcctz installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-timechange/00new/timechange/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (timechange) * installing *source* package 'lmtest' ... ** this is package 'lmtest' version '0.9-40' ** package 'lmtest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pan.f -o pan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lmtest.so init.o pan.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lmtest/00new/lmtest/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lmtest) * installing *source* package 'RcppArmadillo' ... ** this is package 'RcppArmadillo' version '15.2.3-1' ** package 'RcppArmadillo' successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 option to enable C++11 features... -std=gnu++11 checking how to run the C++ preprocessor... /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 -E checking whether the compiler supports GNU C++... (cached) yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 accepts -g... (cached) yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -std=gnu++11 option to enable C++11 features... (cached) -std=gnu++11 checking what system we are on... running Linux on x86_64 checking whether we have a suitable tempdir... /tmp/th798/27261227 checking whether on Linux... yes checking whether R CMD SHLIB can already compile OpenMP programs... yes checking whether on macOS... no checking for OpenMP... found and suitable configure: creating ./config.status config.status: creating inst/include/RcppArmadillo/config/RcppArmadilloConfigGenerated.h config.status: creating src/Makevars ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppArmadillo.cpp -o RcppArmadillo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastLm.cpp -o fastLm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppArmadillo.so RcppArmadillo.o RcppExports.o fastLm.o -fopenmp -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-RcppArmadillo/00new/RcppArmadillo/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppArmadillo) * installing *source* package 'bit64' ... ** this is package 'bit64' version '4.6.0-1' ** package 'bit64' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsearch.c -o bsearch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cache.c -o cache.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash64.c -o hash64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integer64.c -o integer64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sort64.c -o sort64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sortuse64.c -o sortuse64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bit64.so bsearch.o cache.o hash64.o init.o integer64.o sort64.o sortuse64.o -lm installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-bit64/00new/bit64/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bit64) * installing *source* package 'datawizard' ... ** this is package 'datawizard' version '1.3.0' ** package 'datawizard' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (datawizard) * installing *source* package 'flexmix' ... ** this is package 'flexmix' version '2.3-20' ** package 'flexmix' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (flexmix) * installing *source* package 'lifecycle' ... ** this is package 'lifecycle' version '1.0.5' ** package 'lifecycle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lifecycle) * installing *source* package 'rex' ... ** this is package 'rex' version '1.2.1' ** package 'rex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rex) ERROR: dependency 'Icens' is not available for package 'interval' Perhaps try a variation of: install.packages('Icens') * removing '/tmp/th798/27261227/R-devel/841/library/interval' * installing *source* package 'Rdpack' ... ** this is package 'Rdpack' version '2.6.6' ** package 'Rdpack' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rdpack) * installing *source* package 'RcppEigen' ... ** this is package 'RcppEigen' version '0.3.4.0.2' ** package 'RcppEigen' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppEigen.cpp -o RcppEigen.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastLm.cpp -o fastLm.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124: required from 'class Eigen::ColPivHouseholderQR >' fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from 'class Eigen::ColPivHouseholderQR >' fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' fastLm.h:53:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' fastLm.h:54:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' fastLm.h:67:65: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' fastLm.cpp:51:29: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' fastLm.cpp:64:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' fastLm.cpp:68:24: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:74:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:96:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' fastLm.cpp:98:48: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >' fastLm.cpp:99:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' fastLm.cpp:104:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' fastLm.cpp:106:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' fastLm.cpp:107:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:118:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:127:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' fastLm.cpp:127:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' fastLm.cpp:129:40: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' fastLm.cpp:134:18: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' fastLm.cpp:139:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' fastLm.cpp:141:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' fastLm.cpp:141:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1>, Eigen::Matrix >, 0> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >' fastLm.cpp:141:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >' fastLm.cpp:141:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' fastLm.cpp:163:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' fastLm.cpp:163:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper > >, 1>' fastLm.cpp:163:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' fastLm.cpp:164:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' fastLm.cpp:172:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' fastLm.cpp:172:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' fastLm.cpp:180:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' fastLm.cpp:182:47: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' fastLm.cpp:182:56: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' fastLm.cpp:182:70: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' fastLm.cpp:183:51: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' fastLm.cpp:230:49: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' fastLm.cpp:235:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' fastLm.cpp:235:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase >::CastXpr' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:111:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' fastLm.cpp:73:35: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:33: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:91: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:233:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:330: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:394:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:19: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix >, 0>' ../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' ../inst/include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, -1, -1, false> >, 6>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:277: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, -1, -1, false> >, 1>' ../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:66:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:123:11: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:12: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:20: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from 'Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 2, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, 2, false>, 1>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 2, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 2, false> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:233:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from 'Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:123:11: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ../inst/include/Eigen/src/Householder/Householder.h:130:9: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:333: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' fastLm.cpp:104:43: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from 'struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:121:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >, Eigen::internal::assign_op, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:121:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:337: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:166: ../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:141:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:141:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Transpose >, 0>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-RcppEigen/00new/RcppEigen/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppEigen) * installing *source* package 'stringmagic' ... ** this is package 'stringmagic' version '1.2.0' ** package 'stringmagic' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_tools.cpp -o string_tools.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringmagic.cpp -o stringmagic.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringmagic_parser.cpp -o stringmagic_parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_index.cpp -o to_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o stringmagic.so RcppExports.o string_tools.o stringmagic.o stringmagic_parser.o to_index.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-stringmagic/00new/stringmagic/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stringmagic) * installing *source* package 'mstate' ... ** this is package 'mstate' version '0.3.3' ** package 'mstate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agmssurv.c -o agmssurv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mstate_init.c -o mstate_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mstate.so agmssurv.o mstate_init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mstate/00new/mstate/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mstate) * installing *source* package 'foreach' ... ** this is package 'foreach' version '1.5.2' ** package 'foreach' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (foreach) * installing *source* package 'isoband' ... ** this is package 'isoband' version '0.3.0' ** package 'isoband' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clip-lines.cpp -o clip-lines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isoband.cpp -o isoband.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c polygon.cpp -o polygon.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c separate-polygons.cpp -o separate-polygons.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-clip-lines.cpp -o test-clip-lines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-runner.cpp -o test-runner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-separate-polygons.cpp -o test-separate-polygons.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o isoband.so clip-lines.o cpp11.o isoband.o polygon.o separate-polygons.o test-clip-lines.o test-runner.o test-separate-polygons.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-isoband/00new/isoband/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (isoband) * installing *source* package 'xml2' ... ** this is package 'xml2' version '1.5.2' ** package 'xml2' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c connection.cpp -o connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_doc.cpp -o xml2_doc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_init.c -o xml2_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_namespace.cpp -o xml2_namespace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_node.cpp -o xml2_node.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_output.cpp -o xml2_output.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_schema.cpp -o xml2_schema.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_url.cpp -o xml2_url.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_xpath.cpp -o xml2_xpath.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xml2.so connection.o init.o xml2_doc.o xml2_init.o xml2_namespace.o xml2_node.o xml2_output.o xml2_schema.o xml2_url.o xml2_xpath.o -L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-xml2/00new/xml2/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xml2) * installing *source* package 'htmltools' ... ** this is package 'htmltools' version '0.5.9' ** package 'htmltools' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c template.c -o template.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o htmltools.so init.o template.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-htmltools/00new/htmltools/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (htmltools) * installing *source* package 'minqa' ... ** this is package 'minqa' version '1.2.8' ** package 'minqa' successfully unpacked and MD5 sums checked ** using staged installation ** libs using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c altmov.f -o altmov.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bigden.f -o bigden.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c biglag.f -o biglag.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bobyqa.f -o bobyqa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bobyqb.f -o bobyqb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lagmax.f -o lagmax.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c minqa.cpp -o minqa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c newuoa.f -o newuoa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c newuob.f -o newuob.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c prelim.f -o prelim.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rescue.f -o rescue.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c trsapp.f -o trsapp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c trsbox.f -o trsbox.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c trstep.f -o trstep.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c uobyqa.f -o uobyqa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c uobyqb.f -o uobyqb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c update.f -o update.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c updatebobyqa.f -o updatebobyqa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o minqa.so altmov.o bigden.o biglag.o bobyqa.o bobyqb.o lagmax.o minqa.o newuoa.o newuob.o prelim.o rescue.o trsapp.o trsbox.o trstep.o uobyqa.o uobyqb.o update.o updatebobyqa.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-minqa/00new/minqa/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (minqa) * installing *source* package 'formula.tools' ... ** this is package 'formula.tools' version '1.7.1' ** package 'formula.tools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (formula.tools) * installing *source* package 'memisc' ... ** this is package 'memisc' version '0.99.31.8.3' ** package 'memisc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dta-for-R.c -o dta-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dta117-for-R.c -o dta117-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dumbswap.c -o dumbswap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init-memisc.c -o init-memisc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c numeric_if_possible.c -o numeric_if_possible.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsehelpers.c -o parsehelpers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pspp-portableStream-for-R.c -o pspp-portableStream-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pspp-system-for-R.c -o pspp-system-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readfixed.c -o readfixed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rofile.c -o rofile.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c update_data_frame.c -o update_data_frame.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o memisc.so dta-for-R.o dta117-for-R.o dumbswap.o init-memisc.o numeric_if_possible.o parsehelpers.o pspp-portableStream-for-R.o pspp-system-for-R.o readfixed.o rofile.o update_data_frame.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-memisc/00new/memisc/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'contrasts' in package 'memisc' in method for 'description' with signature '"tbl_df"': no definition for class "tbl_df" in method for 'codebook' with signature '"tbl_df"': no definition for class "tbl_df" Creating a generic function for 'contrasts<-' from package 'stats' in package 'memisc' Creating a generic function for 'as.ordered' from package 'base' in package 'memisc' Creating a generic function for 'as.factor' from package 'base' in package 'memisc' Creating a generic function for '%in%' from package 'base' in package 'memisc' Creating a generic function for 'sample' from package 'base' in package 'memisc' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (memisc) * installing *source* package 'ape' ... ** this is package 'ape' version '5.8-1' ** package 'ape' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c BIONJ.c -o BIONJ.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NNI.c -o NNI.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SPR.c -o SPR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c additive.c -o additive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ape.c -o ape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bNNI.c -o bNNI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bionjs.c -o bionjs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bipartition.c -o bipartition.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bitsplits.c -o bitsplits.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c delta_plot.c -o delta_plot.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dist_dna.c -o dist_dna.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dist_nodes.c -o dist_nodes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ewLasso.c -o ewLasso.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c heap.c -o heap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mat_expo.c -o mat_expo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c me.c -o me.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c me_balanced.c -o me_balanced.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c me_ols.c -o me_ols.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mvr.c -o mvr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mvrs.c -o mvrs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nj.c -o nj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c njs.c -o njs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pic.c -o pic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c plot_phylo.c -o plot_phylo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prop_part.cpp -o prop_part.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rTrait.c -o rTrait.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_dna.c -o read_dna.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder_Rcpp.cpp -o reorder_Rcpp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder_phylo.c -o reorder_phylo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treePop.c -o treePop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tree_build.c -o tree_build.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tree_phylo.c -o tree_phylo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c triangMtd.c -o triangMtd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c triangMtds.c -o triangMtds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ultrametric.c -o ultrametric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ape.so BIONJ.o NNI.o RcppExports.o SPR.o additive.o ape.o bNNI.o bionjs.o bipartition.o bitsplits.o delta_plot.o dist_dna.o dist_nodes.o ewLasso.o heap.o mat_expo.o me.o me_balanced.o me_ols.o mvr.o mvrs.o nj.o njs.o pic.o plot_phylo.o prop_part.o rTrait.o read_dna.o reorder_Rcpp.o reorder_phylo.o treePop.o tree_build.o tree_phylo.o triangMtd.o triangMtds.o ultrametric.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ape/00new/ape/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ape) * installing *source* package 'cubature' ... ** this is package 'cubature' version '2.1.4-1' ** package 'cubature' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' ((cd Cuba && \ ./configure && \ make libcuba.a CC="/packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17" CFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I"/home/th798/R/R-devel/include" -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic" AR="ar" ARFLAGS="-rv" RANLIB="ranlib") && \ touch cuba.ts) checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 option to enable C11 features... none needed checking whether the compiler supports GNU Fortran... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gfortran accepts -g... yes checking for ranlib... ranlib checking for a BSD-compatible install... /usr/bin/install -c checking for an ANSI C-conforming const... yes checking for inline... inline checking for long double... yes checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for vfork.h... no checking for size_t... yes checking for ssize_t... yes checking for pid_t... yes checking for powl... yes checking for erf... yes checking for fork... yes checking for vfork... yes checking for working fork... yes checking for working vfork... (cached) yes checking for working alloca.h... yes checking for alloca... yes checking for shmget... yes checking for getloadavg... yes checking for variable-size arrays... yes checking for MathLink... no checking for qmake... no configure: creating ./config.status config.status: creating makefile config.status: creating config.h make[1]: Entering directory '/tmp/th798/27261227/RtmpwLT22F/R.INSTALL29a60c49090336/cubature/src/Cuba' /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -DNOUNDERSCORE -c -o r_helpers.o ./src/common/r_helpers.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/vegas -DNOUNDERSCORE -c -o Vegas.o ./src/vegas/Vegas.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/suave -DNOUNDERSCORE -c -o Suave.o ./src/suave/Suave.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/divonne -DNOUNDERSCORE -c -o Divonne.o ./src/divonne/Divonne.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/cuhre -DNOUNDERSCORE -c -o Cuhre.o ./src/cuhre/Cuhre.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -DNOUNDERSCORE -c -o Fork.o ./src/common/Fork.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -DNOUNDERSCORE -c -o Global.o ./src/common/Global.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c -o Data.o ./src/common/Data.c ar -rv libcuba.a Vegas.o Suave.o Divonne.o Cuhre.o Fork.o Global.o r_helpers.o Data.o ar: creating libcuba.a a - Vegas.o a - Suave.o a - Divonne.o a - Cuhre.o a - Fork.o a - Global.o a - r_helpers.o a - Data.o rm -f Vegas.o Suave.o Divonne.o Cuhre.o Fork.o Global.o r_helpers.o Data.o ranlib libcuba.a make[1]: Leaving directory '/tmp/th798/27261227/RtmpwLT22F/R.INSTALL29a60c49090336/cubature/src/Cuba' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rcpp-Cuba.cpp -o Rcpp-Cuba.o ((cd cubature-1.0.4 && \ (make libcubature.a CC="/packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17" CFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I"/home/th798/R/R-devel/include" -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic" AR="ar" RANLIB="ranlib")) && \ touch cubature.ts) make[1]: Entering directory '/tmp/th798/27261227/RtmpwLT22F/R.INSTALL29a60c49090336/cubature/src/cubature-1.0.4' /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c -o hcubature.o hcubature.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-devel/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c -o pcubature.o pcubature.c ar cr libcubature.a hcubature.o pcubature.o ranlib libcubature.a make[1]: Leaving directory '/tmp/th798/27261227/RtmpwLT22F/R.INSTALL29a60c49090336/cubature/src/cubature-1.0.4' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rcpp-cubature.cpp -o Rcpp-cubature.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cubature_init.c -o cubature_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cubature.so Rcpp-Cuba.o Rcpp-cubature.o RcppExports.o cubature_init.o -L./cubature-1.0.4 -L./Cuba -lcubature -lcuba installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-cubature/00new/cubature/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cubature) * installing *source* package 'mitools' ... ** this is package 'mitools' version '2.4' ** package 'mitools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mitools) * installing *source* package 'rlemon' ... ** this is package 'rlemon' version '0.2.1' ** package 'rlemon' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RInterfaces.cpp -o RInterfaces.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base.cpp -o base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c random.cpp -o random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rlemon.so RInterfaces.o RcppExports.o base.o random.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rlemon/00new/rlemon/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rlemon) * installing *source* package 'libcoin' ... ** this is package 'libcoin' version '1.0-11' ** package 'libcoin' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/mvtnorm/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libcoin-init.c -o libcoin-init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/mvtnorm/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libcoin.c -o libcoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o libcoin.so libcoin-init.o libcoin.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-libcoin/00new/libcoin/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (libcoin) * installing *source* package 'desc' ... ** this is package 'desc' version '1.4.3' ** package 'desc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (desc) * installing *source* package 'miscTools' ... ** this is package 'miscTools' version '0.6-30' ** package 'miscTools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (miscTools) * installing *source* package 'optimx' ... ** this is package 'optimx' version '2025-4.9' ** package 'optimx' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (optimx) * installing *source* package 'sessioninfo' ... ** this is package 'sessioninfo' version '1.2.3' ** package 'sessioninfo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sessioninfo) * installing *source* package 'RcppTOML' ... ** this is package 'RcppTOML' version '0.2.3' ** package 'RcppTOML' successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++17 using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DTOML_ENABLE_FLOAT16=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DTOML_ENABLE_FLOAT16=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.cpp -o parse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppTOML.so RcppExports.o parse.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-RcppTOML/00new/RcppTOML/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppTOML) * installing *source* package 'tinytex' ... ** this is package 'tinytex' version '0.58' ** package 'tinytex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinytex) * installing *source* package 'fastGHQuad' ... ** this is package 'fastGHQuad' version '1.0.1' ** package 'fastGHQuad' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib.cpp -o lib.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fastGHQuad.so init.o lib.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-fastGHQuad/00new/fastGHQuad/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fastGHQuad) * installing *source* package 'bbmle' ... ** this is package 'bbmle' version '1.0.25.1' ** package 'bbmle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bbmle) * installing *source* package 'lsoda' ... ** this is package 'lsoda' version '1.2' ** package 'lsoda' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unit.cpp -o unit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lsoda.so RcppExports.o unit.o -fopenmp -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lsoda/00new/lsoda/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lsoda) * installing *source* package 'hunspell' ... ** this is package 'hunspell' version '3.0.6' ** package 'hunspell' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dictionary.cpp -o dictionary.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parser.cpp -o parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/textparser.cc -o parsers/textparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/latexparser.cc -o parsers/latexparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/manparser.cc -o parsers/manparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/xmlparser.cc -o parsers/xmlparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/htmlparser.cc -o parsers/htmlparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/affentry.cc -o hunspell/affentry.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/affixmgr.cc -o hunspell/affixmgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/filemgr.cc -o hunspell/filemgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/hashmgr.cc -o hunspell/hashmgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/hunspell.cc -o hunspell/hunspell.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/hunzip.cc -o hunspell/hunzip.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/phonet.cc -o hunspell/phonet.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/replist.cc -o hunspell/replist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/suggestmgr.cc -o hunspell/suggestmgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/csutil.cc -o hunspell/csutil.o ar rcs hunspell/libstathunspell.a parsers/textparser.o parsers/latexparser.o parsers/manparser.o parsers/xmlparser.o parsers/htmlparser.o hunspell/affentry.o hunspell/affixmgr.o hunspell/filemgr.o hunspell/hashmgr.o hunspell/hunspell.o hunspell/hunzip.o hunspell/phonet.o hunspell/replist.o hunspell/suggestmgr.o hunspell/csutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o hunspell.so RcppExports.o dictionary.o parser.o -Lhunspell -lstathunspell installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-hunspell/00new/hunspell/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hunspell) * installing *source* package 'diffobj' ... ** this is package 'diffobj' version '0.3.6' ** package 'diffobj' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diffobj.c -o diffobj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o diffobj.so diff.o diffobj.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-diffobj/00new/diffobj/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diffobj) * installing *source* package 'magick' ... ** this is package 'magick' version '2.9.1' ** package 'magick' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lMagick++-7.Q16HDRI -lMagickWand-7.Q16HDRI -lMagickCore-7.Q16HDRI Warning: you seem to be using conda. Better install this package using instructions on https://anaconda.org/conda-forge/r-magick ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c animation.cpp -o animation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attributes.cpp -o attributes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base.cpp -o base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c color.cpp -o color.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c composite.cpp -o composite.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c config.cc -o config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c convolve.cpp -o convolve.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c device.cpp -o device.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c edges.cpp -o edges.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c edit.cpp -o edit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fonts.cpp -o fonts.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c options.cpp -o options.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c properties.cpp -o properties.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c resize.cpp -o resize.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c segment.cpp -o segment.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transformations.cpp -o transformations.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o magick.so RcppExports.o animation.o attributes.o base.o color.o composite.o config.o convolve.o device.o edges.o edit.o fonts.o options.o properties.o resize.o segment.o transformations.o -L/home/th798/.conda/envs/emacs1/lib -lMagick++-7.Q16HDRI -lMagickWand-7.Q16HDRI -lMagickCore-7.Q16HDRI installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-magick/00new/magick/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (magick) * installing *source* package 'highr' ... ** this is package 'highr' version '0.12' ** package 'highr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (highr) * installing *source* package 'later' ... ** this is package 'later' version '1.4.8' ** package 'later' successfully unpacked and MD5 sums checked ** using staged installation Running configure script -latomic linker flag not needed. ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callback_registry.cpp -o callback_registry.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c debug.cpp -o debug.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fd.cpp -o fd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c later.cpp -o later.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c later_posix.cpp -o later_posix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c later_win32.cpp -o later_win32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timer_posix.cpp -o timer_posix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timestamp_unix.cpp -o timestamp_unix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timestamp_win32.cpp -o timestamp_win32.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tinycthread.c -o tinycthread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wref.c -o wref.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o later.so RcppExports.o callback_registry.o debug.o fd.o init.o later.o later_posix.o later_win32.o timer_posix.o timestamp_unix.o timestamp_win32.o tinycthread.o wref.o -pthread installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-later/00new/later/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (later) * installing *source* package 'processx' ... ** this is package 'processx' version '3.8.6' ** package 'processx' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall tools/px.c -o tools/px /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -I../inst/include -Wall tools/sock.c -o tools/sock /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 supervisor/supervisor.c \ supervisor/utils.c -o supervisor/supervisor /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c client.c -o client.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o client.so base64.o client.o errors.o \ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c poll.c -o poll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-connection.c -o processx-connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-vector.c -o processx-vector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c create-time.c -o create-time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/childlist.c -o unix/childlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/connection.c -o unix/connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/processx.c -o unix/processx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/sigchld.c -o unix/sigchld.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/utils.c -o unix/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/named_pipe.c -o unix/named_pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o processx.so init.o poll.o errors.o processx-connection.o processx-vector.o create-time.o base64.o unix/childlist.o unix/connection.o unix/processx.o unix/sigchld.o unix/utils.o unix/named_pipe.o cleancall.o installing via 'install.libs.R' to /tmp/th798/27261227/R-devel/841/library/00LOCK-processx/00new/processx ** R ** inst ** byte-compile and prepare package for lazy loading R6Class process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (processx) * installing *source* package 'checkmate' ... ** this is package 'checkmate' version '2.3.4' ** package 'checkmate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c all_missing.c -o all_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any_infinite.c -o any_infinite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any_missing.c -o any_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any_nan.c -o any_nan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c checks.c -o checks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c find_nchar.c -o find_nchar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c guess_type.c -o guess_type.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c helper.c -o helper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integerish.c -o integerish.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_sorted.c -o is_sorted.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qassert.c -o qassert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c which_first.c -o which_first.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o checkmate.so all_missing.o any_infinite.o any_missing.o any_nan.o checks.o find_nchar.o guess_type.o helper.o init.o integerish.o is_sorted.o qassert.o which_first.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-checkmate/00new/checkmate/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (checkmate) * installing *source* package 'biglm' ... ** this is package 'biglm' version '0.9-3' ** package 'biglm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boundedQR.c -o boundedQR.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c boundedQRf.f -o boundedQRf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o biglm.so boundedQR.o boundedQRf.o init.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-biglm/00new/biglm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (biglm) * installing *source* package 'brglm2' ... ** this is package 'brglm2' version '1.0.1' ** package 'brglm2' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expectations.c -o expectations.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brglm2.so expectations.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-brglm2/00new/brglm2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brglm2) * installing *source* package 'collapse' ... ** this is package 'collapse' version '2.1.6' ** package 'collapse' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ExportSymbols.c -o ExportSymbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TRA.c -o TRA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base_radixsort.c -o base_radixsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_init.c -o data.table_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_rbindlist.c -o data.table_rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_subset.c -o data.table_subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_utils.c -o data.table_utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extptr.c -o extptr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fbetween_fwithin.cpp -o fbetween_fwithin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fbstats.cpp -o fbstats.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcumsum.c -o fcumsum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdiff_fgrowth.cpp -o fdiff_fgrowth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ffirst.c -o ffirst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flag.cpp -o flag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flast.c -o flast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmean.c -o fmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmin_fmax.c -o fmin_fmax.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmode.c -o fmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fndistinct.c -o fndistinct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fnobs.c -o fnobs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fnth_fmedian_fquantile.c -o fnth_fmedian_fquantile.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fprod.c -o fprod.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fscale.cpp -o fscale.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsum.c -o fsum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fvar_fsd.cpp -o fvar_fsd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsplit.c -o gsplit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c handle_attributes.c -o handle_attributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c join.c -o join.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kit_dup.c -o kit_dup.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match.c -o match.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mrtl_mctl.cpp -o mrtl_mctl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pivot.c -o pivot.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c psmat.cpp -o psmat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pwnobs.cpp -o pwnobs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qF_qG.cpp -o qF_qG.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c seqid_groupid.cpp -o seqid_groupid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c small_helper.c -o small_helper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stats_mAR.c -o stats_mAR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stats_pacf.c -o stats_pacf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c varying.cpp -o varying.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o collapse.so ExportSymbols.o RcppExports.o TRA.o base_radixsort.o data.table_init.o data.table_rbindlist.o data.table_subset.o data.table_utils.o extptr.o fbetween_fwithin.o fbstats.o fcumsum.o fdiff_fgrowth.o ffirst.o flag.o flast.o fmean.o fmin_fmax.o fmode.o fndistinct.o fnobs.o fnth_fmedian_fquantile.o fprod.o fscale.o fsum.o fvar_fsd.o gsplit.o handle_attributes.o join.o kit_dup.o match.o mrtl_mctl.o pivot.o programming.o psmat.o pwnobs.o qF_qG.o seqid_groupid.o small_helper.o stats_mAR.o stats_pacf.o varying.o -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-collapse/00new/collapse/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (collapse) * installing *source* package 'emmeans' ... ** this is package 'emmeans' version '2.0.2' ** package 'emmeans' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (emmeans) * installing *source* package 'fontquiver' ... ** this is package 'fontquiver' version '0.2.1' ** package 'fontquiver' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontquiver) * installing *source* package 'future' ... ** this is package 'future' version '1.69.0' ** package 'future' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future) * installing *source* package 'gamlss' ... ** this is package 'gamlss' version '5.5-0' ** package 'gamlss' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gamlss_init.c -o gamlss_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c genD.c -o genD.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gamlss.so gamlss_init.o genD.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-gamlss/00new/gamlss/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gamlss) * installing *source* package 'here' ... ** this is package 'here' version '1.0.2' ** package 'here' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (here) * installing *source* package 'itsadug' ... ** this is package 'itsadug' version '2.5' ** package 'itsadug' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (itsadug) * installing *source* package 'margins' ... ** this is package 'margins' version '0.3.28' ** package 'margins' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (margins) * installing *source* package 'ordinal' ... ** this is package 'ordinal' version '2025.12-29' ** package 'ordinal' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get_fitted.c -o get_fitted.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c links.c -o links.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilityFuns.c -o utilityFuns.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ordinal.so get_fitted.o init.o links.o utilityFuns.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ordinal/00new/ordinal/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ordinal) * installing *source* package 'quantreg' ... ** this is package 'quantreg' version '6.1' ** package 'quantreg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c akj.f -o akj.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c boot.f -o boot.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bound.f -o bound.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c boundc.f -o boundc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c brute.f -o brute.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c chlfct.f -o chlfct.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cholesky.f -o cholesky.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c combos.f -o combos.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c crqf.f -o crqf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c crqfnb.f -o crqfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dsel05.f -o dsel05.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c extract.f -o extract.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frand.c -o frand.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c grexp.f -o grexp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c idmin.f -o idmin.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c iswap.f -o iswap.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c kuantile.f -o kuantile.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c kuantiles.f -o kuantiles.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c linpack.f -o linpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mcmb.c -o mcmb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c penalty.f -o penalty.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pfnb.f -o pfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c powell.f -o powell.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c profnb.f -o profnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pwxy.f -o pwxy.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c qfnb.f -o qfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c qselect.f -o qselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quantreg_init.c -o quantreg_init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rls.f -o rls.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rq0.f -o rq0.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rq1.f -o rq1.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqbr.f -o rqbr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqfn.f -o rqfn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqfnb.f -o rqfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqfnc.f -o rqfnc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqs.f -o rqs.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sakj.f -o sakj.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sparskit2.f -o sparskit2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c srqfn.f -o srqfn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c srqfnc.f -o srqfnc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c srtpai.f -o srtpai.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o quantreg.so akj.o boot.o bound.o boundc.o brute.o chlfct.o cholesky.o combos.o crqf.o crqfnb.o dsel05.o extract.o frand.o grexp.o idmin.o iswap.o kuantile.o kuantiles.o linpack.o mcmb.o penalty.o pfnb.o powell.o profnb.o pwxy.o qfnb.o qselect.o quantreg_init.o rls.o rq0.o rq1.o rqbr.o rqfn.o rqfnb.o rqfnc.o rqs.o sakj.o sparskit2.o srqfn.o srqfnc.o srtpai.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-quantreg/00new/quantreg/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quantreg) * installing *source* package 'quantregForest' ... ** this is package 'quantregForest' version '1.3-7.1' ** package 'quantregForest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c classTree.c -o classTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regTree.c -o regTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regrf.c -o regrf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rf.c -o rf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rfsub.f -o rfsub.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rfutils.c -o rfutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o quantregForest.so classTree.o init.o regTree.o regrf.o rf.o rfsub.o rfutils.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-quantregForest/00new/quantregForest/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quantregForest) * installing *source* package 'robustbase' ... ** this is package 'robustbase' version '0.99-7' ** package 'robustbase' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R-rng4ftn.c -o R-rng4ftn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c eigen.f -o eigen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lmrob.c -o lmrob.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mc.c -o mc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c monitor.c -o monitor.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qn_sn.c -o qn_sn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rf-common.f -o rf-common.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rffastmcd.f -o rffastmcd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rfltsreg.f -o rfltsreg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rllarsbi.f -o rllarsbi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rob-utils.c -o rob-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMedians.c -o rowMedians.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wgt_himed.c -o wgt_himed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o robustbase.so R-rng4ftn.o eigen.o init.o lmrob.o mc.o monitor.o qn_sn.o rf-common.o rffastmcd.o rfltsreg.o rllarsbi.o rob-utils.o rowMedians.o wgt_himed.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-robustbase/00new/robustbase/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function from function 'chgDefaults' in package 'robustbase' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robustbase) * installing *source* package 'sandwich' ... ** this is package 'sandwich' version '3.1-1' ** package 'sandwich' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sandwich) * installing *source* package 'xgboost' ... ** this is package 'xgboost' version '3.2.0.1' ** package 'xgboost' successfully unpacked and MD5 sums checked ** using staged installation configure: Checking if/where backtrace is available checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking for backtrace in -lexecinfo... no checking for backtrace... yes configure: Checking whether fopen64 is available checking for fopen64... yes configure: Endian detection checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes configure: Checking system endianness as USE_LITTLE_ENDIAN is unset checking whether byte ordering is bigendian... no using little endian configure: Checking for prefetch builtin Doesn't have __builtin_prefetch configure: Checking for mm_prefetch Has _mm_prefetch configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h config.status: src/config.h is unchanged ** libs specified C++17 Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_R.cc -o xgboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_custom.cc -o xgboost_custom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/metric.cc -o src/metric/metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/elementwise_metric.cc -o src/metric/elementwise_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/multiclass_metric.cc -o src/metric/multiclass_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/rank_metric.cc -o src/metric/rank_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/auc.cc -o src/metric/auc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/survival_metric.cc -o src/metric/survival_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/objective.cc -o src/objective/objective.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/regression_obj.cc -o src/objective/regression_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/multiclass_obj.cc -o src/objective/multiclass_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/lambdarank_obj.cc -o src/objective/lambdarank_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/hinge.cc -o src/objective/hinge.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/aft_obj.cc -o src/objective/aft_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/adaptive.cc -o src/objective/adaptive.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/init_estimation.cc -o src/objective/init_estimation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/quantile_obj.cc -o src/objective/quantile_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbm.cc -o src/gbm/gbm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree.cc -o src/gbm/gbtree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree_model.cc -o src/gbm/gbtree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear.cc -o src/gbm/gblinear.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear_model.cc -o src/gbm/gblinear_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/adapter.cc -o src/data/adapter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/array_interface.cc -o src/data/array_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/cat_container.cc -o src/data/cat_container.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/simple_dmatrix.cc -o src/data/simple_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/data.cc -o src/data/data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_raw_format.cc -o src/data/sparse_page_raw_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/ellpack_page.cc -o src/data/ellpack_page.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/file_iterator.cc -o src/data/file_iterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index.cc -o src/data/gradient_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_page_source.cc -o src/data/gradient_index_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_format.cc -o src/data/gradient_index_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/metainfo.cc -o src/data/metainfo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_dmatrix.cc -o src/data/sparse_page_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_source.cc -o src/data/sparse_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/extmem_quantile_dmatrix.cc -o src/data/extmem_quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/quantile_dmatrix.cc -o src/data/quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/batch_utils.cc -o src/data/batch_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/proxy_dmatrix.cc -o src/data/proxy_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/iterative_dmatrix.cc -o src/data/iterative_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/predictor.cc -o src/predictor/predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/cpu_predictor.cc -o src/predictor/cpu_predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/treeshap.cc -o src/predictor/treeshap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/constraints.cc -o src/tree/constraints.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/param.cc -o src/tree/param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/fit_stump.cc -o src/tree/fit_stump.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_model.cc -o src/tree/tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_view.cc -o src/tree/tree_view.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_updater.cc -o src/tree/tree_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/multi_target_tree_model.cc -o src/tree/multi_target_tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_approx.cc -o src/tree/updater_approx.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_colmaker.cc -o src/tree/updater_colmaker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_prune.cc -o src/tree/updater_prune.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_quantile_hist.cc -o src/tree/updater_quantile_hist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_refresh.cc -o src/tree/updater_refresh.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_sync.cc -o src/tree/updater_sync.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/hist_param.cc -o src/tree/hist/hist_param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/histogram.cc -o src/tree/hist/histogram.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/sampler.cc -o src/tree/hist/sampler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/linear_updater.cc -o src/linear/linear_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_coordinate.cc -o src/linear/updater_coordinate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_shotgun.cc -o src/linear/updater_shotgun.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/learner.cc -o src/learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/context.cc -o src/context.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/logging.cc -o src/logging.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/global_config.cc -o src/global_config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/result.cc -o src/collective/result.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allgather.cc -o src/collective/allgather.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allreduce.cc -o src/collective/allreduce.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/broadcast.cc -o src/collective/broadcast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm.cc -o src/collective/comm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm_group.cc -o src/collective/comm_group.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/coll.cc -o src/collective/coll.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/tracker.cc -o src/collective/tracker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/in_memory_handler.cc -o src/collective/in_memory_handler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/loop.cc -o src/collective/loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/socket.cc -o src/collective/socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/cache_manager.cc -o src/common/cache_manager.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/charconv.cc -o src/common/charconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/column_matrix.cc -o src/common/column_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/common.cc -o src/common/common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/cuda_rt_utils.cc -o src/common/cuda_rt_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/error_msg.cc -o src/common/error_msg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/hist_util.cc -o src/common/hist_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/host_device_vector.cc -o src/common/host_device_vector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/io.cc -o src/common/io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/json.cc -o src/common/json.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/linalg_op.cc -o src/common/linalg_op.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/numeric.cc -o src/common/numeric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/optional_weight.cc -o src/common/optional_weight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/pseudo_huber.cc -o src/common/pseudo_huber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile.cc -o src/common/quantile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/random.cc -o src/common/random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/stats.cc -o src/common/stats.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/survival_util.cc -o src/common/survival_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/threading_utils.cc -o src/common/threading_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/ranking_utils.cc -o src/common/ranking_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/param_array.cc -o src/common/param_array.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile_loss_utils.cc -o src/common/quantile_loss_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/timer.cc -o src/common/timer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/version.cc -o src/common/version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api.cc -o src/c_api/c_api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api_error.cc -o src/c_api/c_api_error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c amalgamation/dmlc-minimum0.cc -o amalgamation/dmlc-minimum0.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xgboost.so ./xgboost_R.o ./xgboost_custom.o ./init.o ./src/metric/metric.o ./src/metric/elementwise_metric.o ./src/metric/multiclass_metric.o ./src/metric/rank_metric.o ./src/metric/auc.o ./src/metric/survival_metric.o ./src/objective/objective.o ./src/objective/regression_obj.o ./src/objective/multiclass_obj.o ./src/objective/lambdarank_obj.o ./src/objective/hinge.o ./src/objective/aft_obj.o ./src/objective/adaptive.o ./src/objective/init_estimation.o ./src/objective/quantile_obj.o ./src/gbm/gbm.o ./src/gbm/gbtree.o ./src/gbm/gbtree_model.o ./src/gbm/gblinear.o ./src/gbm/gblinear_model.o ./src/data/adapter.o ./src/data/array_interface.o ./src/data/cat_container.o ./src/data/simple_dmatrix.o ./src/data/data.o ./src/data/sparse_page_raw_format.o ./src/data/ellpack_page.o ./src/data/file_iterator.o ./src/data/gradient_index.o ./src/data/gradient_index_page_source.o ./src/data/gradient_index_format.o ./src/data/metainfo.o ./src/data/sparse_page_dmatrix.o ./src/data/sparse_page_source.o ./src/data/extmem_quantile_dmatrix.o ./src/data/quantile_dmatrix.o ./src/data/batch_utils.o ./src/data/proxy_dmatrix.o ./src/data/iterative_dmatrix.o ./src/predictor/predictor.o ./src/predictor/cpu_predictor.o ./src/predictor/treeshap.o ./src/tree/constraints.o ./src/tree/param.o ./src/tree/fit_stump.o ./src/tree/tree_model.o ./src/tree/tree_view.o ./src/tree/tree_updater.o ./src/tree/multi_target_tree_model.o ./src/tree/updater_approx.o ./src/tree/updater_colmaker.o ./src/tree/updater_prune.o ./src/tree/updater_quantile_hist.o ./src/tree/updater_refresh.o ./src/tree/updater_sync.o ./src/tree/hist/hist_param.o ./src/tree/hist/histogram.o ./src/tree/hist/sampler.o ./src/linear/linear_updater.o ./src/linear/updater_coordinate.o ./src/linear/updater_shotgun.o ./src/learner.o ./src/context.o ./src/logging.o ./src/global_config.o ./src/collective/result.o ./src/collective/allgather.o ./src/collective/allreduce.o ./src/collective/broadcast.o ./src/collective/comm.o ./src/collective/comm_group.o ./src/collective/coll.o ./src/collective/tracker.o ./src/collective/in_memory_handler.o ./src/collective/loop.o ./src/collective/socket.o ./src/common/cache_manager.o ./src/common/charconv.o ./src/common/column_matrix.o ./src/common/common.o ./src/common/cuda_rt_utils.o ./src/common/error_msg.o ./src/common/hist_util.o ./src/common/host_device_vector.o ./src/common/io.o ./src/common/json.o ./src/common/linalg_op.o ./src/common/numeric.o ./src/common/optional_weight.o ./src/common/pseudo_huber.o ./src/common/quantile.o ./src/common/random.o ./src/common/stats.o ./src/common/survival_util.o ./src/common/threading_utils.o ./src/common/ranking_utils.o ./src/common/param_array.o ./src/common/quantile_loss_utils.o ./src/common/timer.o ./src/common/version.o ./src/c_api/c_api.o ./src/c_api/c_api_error.o ./amalgamation/dmlc-minimum0.o -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-xgboost/00new/xgboost/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xgboost) * installing *source* package 'crosstalk' ... ** this is package 'crosstalk' version '1.2.2' ** package 'crosstalk' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crosstalk) * installing *source* package 'promises' ... ** this is package 'promises' version '1.5.0' ** package 'promises' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (promises) * installing *source* package 'gld' ... ** this is package 'gld' version '2.6.8' ** package 'gld' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fit_fkml.c -o fit_fkml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.fm5.fx.c -o gld.fm5.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.fmkl.fx.c -o gld.fmkl.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.rs.fx.c -o gld.rs.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.vsk.fx.c -o gld.vsk.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld_init.c -o gld_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gld.so fit_fkml.o gld.fm5.fx.o gld.fmkl.fx.o gld.rs.fx.o gld.vsk.fx.o gld_init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-gld/00new/gld/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gld) * installing *source* package 'waldo' ... ** this is package 'waldo' version '0.6.2' ** package 'waldo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (waldo) * installing *source* package 'fpc' ... ** this is package 'fpc' version '2.2-14' ** package 'fpc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fpc) * installing *source* package 'stabm' ... ** this is package 'stabm' version '1.2.2' ** package 'stabm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stabm) * installing *source* package 'sass' ... ** this is package 'sass' version '0.4.10' ** package 'sass' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libsass/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compile.c -o compile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./libsass/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o MAKEFLAGS= CC="/packages/gcc/12.2.0-nnbserq/bin/gcc" CFLAGS="-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include " CXX="/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20" AR="ar" LDFLAGS="-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64" make -C libsass make[1]: Entering directory '/tmp/th798/27261227/RtmpVBojvl/R.INSTALL2a45ca2ee3998f/sass/src/libsass' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -I ./include -fPIC -c -o src/cencode.o src/cencode.c /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast.o src/ast.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_values.o src/ast_values.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_supports.o src/ast_supports.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_cmp.o src/ast_sel_cmp.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_unify.o src/ast_sel_unify.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_super.o src/ast_sel_super.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_weave.o src/ast_sel_weave.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_selectors.o src/ast_selectors.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/context.o src/context.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/constants.o src/constants.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include 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-I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_values.o src/sass_values.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_context.o src/sass_context.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_functions.o src/sass_functions.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass2scss.o src/sass2scss.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/backtrace.o src/backtrace.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/operators.o src/operators.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast2c.o src/ast2c.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/c2ast.o src/c2ast.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/to_value.o src/to_value.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/source_map.o src/source_map.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/error_handling.o src/error_handling.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/memory/allocator.o src/memory/allocator.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/memory/shared_ptr.o src/memory/shared_ptr.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/utf8_string.o src/utf8_string.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/base64vlq.o src/base64vlq.cpp mkdir lib ar rcvs lib/libsass.a src/cencode.o src/ast.o src/ast_values.o src/ast_supports.o src/ast_sel_cmp.o src/ast_sel_unify.o src/ast_sel_super.o src/ast_sel_weave.o src/ast_selectors.o src/context.o src/constants.o src/fn_utils.o src/fn_miscs.o src/fn_maps.o src/fn_lists.o src/fn_colors.o src/fn_numbers.o src/fn_strings.o src/fn_selectors.o src/color_maps.o src/environment.o src/ast_fwd_decl.o src/bind.o src/file.o src/util.o src/util_string.o src/json.o src/units.o src/values.o src/plugins.o src/source.o src/position.o src/lexer.o src/parser.o src/parser_selectors.o src/prelexer.o src/eval.o src/eval_selectors.o src/expand.o src/listize.o src/cssize.o src/extender.o src/extension.o src/stylesheet.o src/output.o src/inspect.o src/emitter.o src/check_nesting.o src/remove_placeholders.o src/sass.o src/sass_values.o src/sass_context.o src/sass_functions.o src/sass2scss.o src/backtrace.o src/operators.o src/ast2c.o src/c2ast.o src/to_value.o src/source_map.o src/error_handling.o src/memory/allocator.o src/memory/shared_ptr.o src/utf8_string.o src/base64vlq.o a - src/cencode.o a - src/ast.o a - src/ast_values.o a - src/ast_supports.o a - src/ast_sel_cmp.o a - src/ast_sel_unify.o a - src/ast_sel_super.o a - src/ast_sel_weave.o a - src/ast_selectors.o a - src/context.o a - src/constants.o a - src/fn_utils.o a - src/fn_miscs.o a - src/fn_maps.o a - src/fn_lists.o a - src/fn_colors.o a - src/fn_numbers.o a - src/fn_strings.o a - src/fn_selectors.o a - src/color_maps.o a - src/environment.o a - src/ast_fwd_decl.o a - src/bind.o a - src/file.o a - src/util.o a - src/util_string.o a - src/json.o a - src/units.o a - src/values.o a - src/plugins.o a - src/source.o a - src/position.o a - src/lexer.o a - src/parser.o a - src/parser_selectors.o a - src/prelexer.o a - src/eval.o a - src/eval_selectors.o a - src/expand.o a - src/listize.o a - src/cssize.o a - src/extender.o a - src/extension.o a - src/stylesheet.o a - src/output.o a - src/inspect.o a - src/emitter.o a - src/check_nesting.o a - src/remove_placeholders.o a - src/sass.o a - src/sass_values.o a - src/sass_context.o a - src/sass_functions.o a - src/sass2scss.o a - src/backtrace.o a - src/operators.o a - src/ast2c.o a - src/c2ast.o a - src/to_value.o a - src/source_map.o a - src/error_handling.o a - src/memory/allocator.o a - src/memory/shared_ptr.o a - src/utf8_string.o a - src/base64vlq.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpVBojvl/R.INSTALL2a45ca2ee3998f/sass/src/libsass' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sass.so compile.o init.o ./libsass/lib/libsass.a rm -f libsass/lib/libsass.a installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-sass/00new/sass/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sass) * installing *source* package 'GPfit' ... ** this is package 'GPfit' version '1.0-9' ** package 'GPfit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GPfit) * installing *source* package 'markdown' ... ** this is package 'markdown' version '2.0' ** package 'markdown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (markdown) * installing *source* package 'reformulas' ... ** this is package 'reformulas' version '0.4.4' ** package 'reformulas' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reformulas) * installing *source* package 'vctrs' ... ** this is package 'vctrs' version '0.7.1' ** package 'vctrs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-lazy-character.c -o altrep-lazy-character.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-rle.c -o altrep-rle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep.c -o altrep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arg-counter.c -o arg-counter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arg.c -o arg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assert.c -o assert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bind.c -o bind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c.c -o c.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callables.c -o callables.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c case-when.c -o case-when.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cast-bare.c -o cast-bare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cast-dispatch.c -o cast-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cast.c -o cast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compare.c -o compare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c complete.c -o complete.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c conditions.c -o conditions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dictionary.c -o dictionary.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dim.c -o dim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c empty.c -o empty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c equal.c -o equal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expand.c -o expand.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fields.c -o fields.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fill.c -o fill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c globals.c -o globals.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group.c -o group.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c growable.c -o growable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c if-else.c -o if-else.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interval.c -o interval.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c list-combine.c -o list-combine.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c list-unchop.c -o list-unchop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match-joint.c -o match-joint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match.c -o match.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c missing.c -o missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c names.c -o names.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order-collate.c -o order-collate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order-groups.c -o order-groups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order-sortedness.c -o order-sortedness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order.c -o order.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parallel.c -o parallel.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c poly-op.c -o poly-op.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c proxy-restore.c -o proxy-restore.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c proxy.c -o proxy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype-common.c -o ptype-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype.c -o ptype.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype2-dispatch.c -o ptype2-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype2.c -o ptype2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rank.c -o rank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c recode.c -o recode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rep.c -o rep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang-dev.c -o rlang-dev.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runs.c -o runs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c set.c -o set.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shape.c -o shape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c size-common.c -o size-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c size.c -o size.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-array.c -o slice-array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-assign-array.c -o slice-assign-array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-assign.c -o slice-assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-chop.c -o slice-chop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-interleave.c -o slice-interleave.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice.c -o slice.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c split.c -o split.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subscript-loc.c -o subscript-loc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subscript.c -o subscript.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c translate.c -o translate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-data-frame.c -o type-data-frame.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-date-time.c -o type-date-time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-factor.c -o type-factor.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-info.c -o type-info.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-integer64.c -o type-integer64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-tibble.c -o type-tibble.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c typeof2-s3.c -o typeof2-s3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c typeof2.c -o typeof2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unspecified.c -o unspecified.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils-dispatch.c -o utils-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o vctrs.so altrep-lazy-character.o altrep-rle.o altrep.o arg-counter.o arg.o assert.o bind.o c.o callables.o case-when.o cast-bare.o cast-dispatch.o cast.o compare.o complete.o conditions.o dictionary.o dim.o empty.o equal.o expand.o fields.o fill.o globals.o group.o growable.o hash.o if-else.o init.o interval.o list-combine.o list-unchop.o match-joint.o match.o missing.o names.o order-collate.o order-groups.o order-sortedness.o order.o parallel.o poly-op.o proxy-restore.o proxy.o ptype-common.o ptype.o ptype2-dispatch.o ptype2.o rank.o recode.o rep.o rlang-dev.o rlang.o runs.o set.o shape.o size-common.o size.o slice-array.o slice-assign-array.o slice-assign.o slice-chop.o slice-interleave.o slice.o split.o subscript-loc.o subscript.o translate.o type-data-frame.o type-date-time.o type-factor.o type-info.o type-integer64.o type-tibble.o typeof2-s3.o typeof2.o unspecified.o utils-dispatch.o utils.o version.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-vctrs/00new/vctrs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vctrs) * installing *source* package 'scales' ... ** this is package 'scales' version '1.4.0' ** package 'scales' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scales) * installing *source* package 'chk' ... ** this is package 'chk' version '0.10.0' ** package 'chk' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (chk) * installing *source* package 'gtable' ... ** this is package 'gtable' version '0.3.6' ** package 'gtable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gtable) * installing *source* package 'memoise' ... ** this is package 'memoise' version '2.0.1' ** package 'memoise' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (memoise) * installing *source* package 'maxLik' ... ** this is package 'maxLik' version '1.5-2.2' ** package 'maxLik' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (maxLik) * installing *source* package 'dreamerr' ... ** this is package 'dreamerr' version '1.5.0' ** package 'dreamerr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dreamerr) * installing *source* package 'TMB' ... ** this is package 'TMB' version '1.9.19' ** package 'TMB' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c external_metis.c -o external_metis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c local_stubs.c -o local_stubs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c solve_subset.c -o solve_subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o TMB.so external_metis.o init.o local_stubs.o solve_subset.o utils.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location Building example simple Note: Using Makevars in /home/th798/.R/Makevars using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"/tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include" -I"/tmp/th798/27261227/R-devel/841/library/RcppEigen/include" -DTMB_SAFEBOUNDS -DLIB_UNLOAD=R_unload_simple -DTMB_LIB_INIT=R_init_simple -DCPPAD_FRAMEWORK -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c simple.cpp -o simple.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/TMB.hpp:92, from simple.cpp:2: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:17:8: required from 'struct tmbutils::vector' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:58:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:17:8: required from 'struct tmbutils::vector' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:58:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:101:8: required from 'struct tmbutils::matrix' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:459:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:554:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:14: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/TMB.hpp:96: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' simple.cpp:26:29: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/start_parallel.hpp:240:37: required from 'VectorBase parallelADFun::Reverse(size_t, const VectorBase&) [with VectorBase = Eigen::Matrix; Type = double; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2692:28: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:30:21: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:30:27: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:31:47: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:18:23: required from 'atomic::Block atomic::Block::scale(Type) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:242:29: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:25:29: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:36: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:55: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:26: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:84: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:71: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase > >::CastXpr' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:114:35: required from 'tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1187:38: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:122:29: required from 'tmbutils::matrix asMatrix(const tmbutils::vector&, int, int) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1202:5: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convenience.hpp:49:23: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' simple.cpp:26:22: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::MatrixWrapper >, 0>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convenience.hpp:49:13: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' simple.cpp:26:22: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/convenience.hpp:49:32: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' simple.cpp:26:22: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:39: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:45: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:31: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1218:14: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/array.hpp:22:8: required from 'struct tmbutils::array' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:602:29: required from 'void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:610:9: required from 'void report_stack::push(Type, const char*) [with Type = double]' simple.cpp:37:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:603:56: required from 'void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:610:9: required from 'void report_stack::push(Type, const char*) [with Type = double]' simple.cpp:37:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:24:20: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:18: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' simple.cpp:17:50: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from 'Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:18: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Array; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:18: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from 'Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from 'void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from 'void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from 'Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o simple.so simple.o Build time 26.836 seconds ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TMB) * installing *source* package 'Rfast' ... ** this is package 'Rfast' version '2.1.5.2' ** package 'Rfast' successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++17 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Coeff.cpp -o Coeff.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Diag.cpp -o Diag.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Norm.cpp -o Norm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rank.cpp -o Rank.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Sort.cpp -o Sort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Table.cpp -o Table.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c add_to_namespace.cpp -o add_to_namespace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c apply_condition.cpp -o apply_condition.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c as_integer.cpp -o as_integer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binarysearch.cpp -o binarysearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bincomb.cpp -o bincomb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c check.cpp -o check.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cholesky.cpp -o cholesky.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c col_row_utilities.cpp -o col_row_utilities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c col_row_utilities_p.cpp -o col_row_utilities_p.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c col_statistical.cpp -o col_statistical.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colrint_mle.cpp -o colrint_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colweibull_mle.cpp -o colweibull_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cts.cpp -o cts.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cts_rf.cpp -o cts_rf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c design_matrix.cpp -o design_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dir_knn.cpp -o dir_knn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diri_nr_type2.cpp -o diri_nr_type2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dista.cpp -o dista.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dists.cpp -o dists.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c each.cpp -o each.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c eigs_sym_c.cpp -o eigs_sym_c.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c energy.cpp -o energy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c floyd_john.cpp -o floyd_john.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frame_to_matrix.cpp -o frame_to_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c g2_export.cpp -o g2_export.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c g2_helpers.cpp -o g2_helpers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c g2t.cpp -o g2t.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gamma.cpp -o gamma.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gaussian_nb.cpp -o gaussian_nb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c geom_regs.cpp -o geom_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glm.cpp -o glm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group.cpp -o group.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.cpp -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is.cpp -o is.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c k_nn.cpp -o k_nn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logistic_only.cpp -o logistic_only.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lower_upper_tri.cpp -o lower_upper_tri.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c maha.cpp -o maha.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c maha_ex.cpp -o maha_ex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matrices.cpp -o matrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mn.cpp -o mn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multinom_regs.cpp -o multinom_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c my_k_sorted_array.cpp -o my_k_sorted_array.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c normlog_reg.cpp -o normlog_reg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c normlog_regs.cpp -o normlog_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c odds_helper.cpp -o odds_helper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pc_skel.cpp -o pc_skel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c permutation.cpp -o permutation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c positive_negative.cpp -o positive_negative.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prop.cpp -o prop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qpois.cpp -o qpois.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbing.cpp -o rbing.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.cpp -o read.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reg_lib.cpp -o reg_lib.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rep.cpp -o rep.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rint.cpp -o rint.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmdp.cpp -o rmdp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rvmf.cpp -o rvmf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sf.cpp -o sf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sort_unique.cpp -o sort_unique.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c spat_med.cpp -o spat_med.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c spml.cpp -o spml.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sw_regs.cpp -o sw_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c system_files.cpp -o system_files.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c topological_sort.cpp -o topological_sort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilities.cpp -o utilities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c varcomps_mle.cpp -o varcomps_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecdist.cpp -o vecdist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weib_reg.cpp -o weib_reg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-devel/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weibull_mle.cpp -o weibull_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Rfast.so Coeff.o Diag.o Norm.o Rank.o Sort.o Table.o add_to_namespace.o apply_condition.o as_integer.o binarysearch.o bincomb.o check.o cholesky.o col_row_utilities.o col_row_utilities_p.o col_statistical.o colrint_mle.o colweibull_mle.o cts.o cts_rf.o design_matrix.o dir_knn.o diri_nr_type2.o dista.o dists.o each.o eigs_sym_c.o energy.o floyd_john.o frame_to_matrix.o g2_export.o g2_helpers.o g2t.o gamma.o gaussian_nb.o geom_regs.o glm.o group.o hash.o init.o is.o k_nn.o logistic_only.o lower_upper_tri.o maha.o maha_ex.o matrices.o mn.o multinom_regs.o my_k_sorted_array.o normlog_reg.o normlog_regs.o odds_helper.o pc_skel.o permutation.o positive_negative.o prop.o qpois.o rbing.o read.o reg_lib.o rep.o rint.o rmdp.o rvmf.o sf.o sort_unique.o spat_med.o spml.o sw_regs.o system_files.o topological_sort.o utilities.o varcomps_mle.o vecdist.o weib_reg.o weibull_mle.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-Rfast/00new/Rfast/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rfast) * installing *source* package 'nonnest2' ... ** this is package 'nonnest2' version '0.5-8' ** package 'nonnest2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nonnest2) * installing *source* package 'ranger' ... ** this is package 'ranger' version '0.18.0' ** package 'ranger' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AAA_check_cpp14.cpp -o AAA_check_cpp14.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Data.cpp -o Data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DataSparse.cpp -o DataSparse.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Forest.cpp -o Forest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestClassification.cpp -o ForestClassification.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestProbability.cpp -o ForestProbability.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestRegression.cpp -o ForestRegression.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestSurvival.cpp -o ForestSurvival.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:387:24: required from 'Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/as.h:88:32: required from 'T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/as.h:151:31: required from 'T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:46:54: required from 'Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' RcppExports.cpp:59:94: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Tree.cpp -o Tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeClassification.cpp -o TreeClassification.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeProbability.cpp -o TreeProbability.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeRegression.cpp -o TreeRegression.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeSurvival.cpp -o TreeSurvival.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rangerCpp.cpp -o rangerCpp.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utility.cpp -o utility.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilityRcpp.cpp -o utilityRcpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ranger.so AAA_check_cpp14.o Data.o DataSparse.o Forest.o ForestClassification.o ForestProbability.o ForestRegression.o ForestSurvival.o RcppExports.o Tree.o TreeClassification.o TreeProbability.o TreeRegression.o TreeSurvival.o rangerCpp.o utility.o utilityRcpp.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ranger/00new/ranger/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ranger) * installing *source* package 'glmnet' ... ** this is package 'glmnet' version '4.1-10' ** package 'glmnet' successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++17 using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' RcppExports.cpp:47:170: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' RcppExports.cpp:47:170: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:59:98: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c coxnet5dpclean.f -o coxnet5dpclean.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c elnet_exp.cpp -o elnet_exp.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' elnet_exp.cpp:44:5: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' elnet_exp.cpp:98:5: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:27: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:30: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:33: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/base.hpp:12:36: required from 'void glmnetpp::ElnetDriverBase::normalize_penalty(VType&&) const [with VType = Eigen::Matrix&]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:402:36: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:34: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:42: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:36: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:33: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:42: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:52:26: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:56: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:41: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:48: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:35: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:430:16: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:31: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:29: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:55: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:44: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:53: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:276:41: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:48: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:57: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:399:49: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator >, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from 'static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:343:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from 'auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:344:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from 'auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:96:31: required from 'struct glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:159:16: required from 'auto glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from 'static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:296:29: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:176:22: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:34: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:45: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:29: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:36: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:31: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:52: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:16: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:28: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:34: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:27: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from 'Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:47: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:50: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:82:44: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:88:40: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:86:50: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:58: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:41: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:86: required from 'auto glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::prediction() const [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_base.hpp:140:40: required from 'void glmnetpp::ElnetPathPoissonBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:22: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:38: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:29: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:41: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:47: required from 'static typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::compute_xv(const XType&, const WType&) [with XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:71:52: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:336:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:22: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:31: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:37: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:23: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:35: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:54: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:47: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:27: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:50: required from 'void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:59: required from 'void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:55: required from 'typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:73:51: required from 'glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, ISType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Matrix; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ISType = Eigen::Matrix; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1402:44: required from 'typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:76:62: required from 'glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:68: required from 'typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_grad(typename base_t::index_t, const RType&, const VType&) const [with RType = Eigen::Matrix; VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:77:64: required from 'glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:130:48: required from 'typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:163:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:136:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:139:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:137:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:168:65: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:66: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:78: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:84: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:169:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from 'static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:46: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from 'static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(typename base_t::index_t, RType&&) [with RType = Eigen::Block, -1, 1, true>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1166:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:589:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:39: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:45: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:54: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:661:34: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:65: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:47: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:48: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:51: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:79: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:605:60: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:55: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:37: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:37: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:44: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:26: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:39: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:57: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:47: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:77: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:83: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:53: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:79: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:85: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:113:48: required from 'glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:43 = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1381:42: required from 'void glmnetpp::SpElnetPointInternalBinomialBase::update_with_new_weights(typename base_t::index_t, const VType&, typename base_t::index_t, typename base_t::value_t, typename base_t::value_t&) [with VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:121:55: required from 'void glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:137:50: required from 'glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:50 = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:101:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&):::: [with auto:65 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; SkipPolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:100:51: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:38: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:37: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:40: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:55: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: required from 'typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:68:81: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:643:34: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:645:81: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:648:53: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:49: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:51: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:59: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:84:33: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:39:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, 1, -1, false>, 1, -1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:51: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:531:48: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&, typename base_t::value_t) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:546:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:155:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:156:37: required from 'void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, DestType&&) const [with DestType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:162:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:55: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:85: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from 'typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:38: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:88:35: required from 'static auto glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::compute_sp_cov(const X1Type&, const X2Type&, const WType&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:65:42: required from 'void glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::update_active(typename base_t::index_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:81:44: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:101:57: required from 'void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:45: required from 'void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:72: required from 'void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:127:53: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:82:43: required from 'void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:140:39: required from 'void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:55: required from 'void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:142:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:322:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:405:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:89:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1208:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:219:37: required from 'static constexpr bool glmnetpp::ElnetPointInternalStaticBase::equal(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T1 = Eigen::Matrix; T2 = Eigen::Transpose, 1, -1, false> >; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:75:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:80:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:91:43: required from 'void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/binomial_multi_class_group.hpp:34:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:138:39: required from 'void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:570:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:92: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from 'typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1024>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int ProductType = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_cov.hpp:55:65: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Transpose, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:703:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:66: required from 'void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glmnet_init.cpp -o glmnet_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.cpp -o internal.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pb.c -o pb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pb_exp.cpp -o pb_exp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wls_exp.cpp -o wls_exp.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' wls_exp.cpp:40:5: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from 'struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:52:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from 'struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:52:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' wls_exp.cpp:113:5: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32: required from 'struct glmnetpp::SpElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >' glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8: required from 'struct glmnetpp::SpElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:125:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from 'static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from 'void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from 'void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from 'static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from 'Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from 'Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:689:62: required from 'const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType::Type Eigen::SparseMatrixBase::cwiseProduct(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType::Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glmnet.so RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-glmnet/00new/glmnet/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmnet) * installing *source* package 'mlr3misc' ... ** this is package 'mlr3misc' version '0.21.0' ** package 'mlr3misc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c count_missing.c -o count_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keep_in_bounds.c -o keep_in_bounds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_decimal.c -o to_decimal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c which_max.c -o which_max.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3misc.so count_missing.o init.o keep_in_bounds.o to_decimal.o which_max.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mlr3misc/00new/mlr3misc/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3misc) * installing *source* package 'mvnfast' ... ** this is package 'mvnfast' version '0.2.8' ** package 'mvnfast' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmixtCpp.cpp -o dmixtCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmvtCpp.cpp -o dmvtCpp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mahaCpp.cpp -o mahaCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c msCpp.cpp -o msCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmixnCpp.cpp -o rmixnCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmixtCpp.cpp -o rmixtCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmvnCpp.cpp -o rmvnCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmvtCpp.cpp -o rmvtCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mvnfast.so dmixtCpp.o dmvtCpp.o init.o mahaCpp.o msCpp.o rmixnCpp.o rmixtCpp.o rmvnCpp.o rmvtCpp.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mvnfast/00new/mvnfast/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvnfast) * installing *source* package 'inum' ... ** this is package 'inum' version '1.0-5' ** package 'inum' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (inum) * installing *source* package 'callr' ... ** this is package 'callr' version '3.7.6' ** package 'callr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading R6Class r_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class r_session: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rcmd_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rscript_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (callr) * installing *source* package 'fontawesome' ... ** this is package 'fontawesome' version '0.5.3' ** package 'fontawesome' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontawesome) * installing *source* package 'openssl' ... ** this is package 'openssl' version '2.3.5' ** package 'openssl' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -l:libssl.so.1.1 -l:libcrypto.so.1.1 ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' rm -f aes.o base64.o bignum.o cert.o compatibility.o diffie.o envelope.o error.o hash.o info.o keygen.o keys.o onload.o openssh.o password.o pbkdf.o pem.o pkcs12.o pkcs7.o rand.o rsa.o signing.o ssl.o stream.o write.o x25519.o openssl.so bcrypt/libstatbcrypt.a bcrypt/bcrypt_pbkdf.o bcrypt/blowfish.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aes.c -o aes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bignum.c -o bignum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cert.c -o cert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compatibility.c -o compatibility.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diffie.c -o diffie.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c envelope.c -o envelope.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error.c -o error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c info.c -o info.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keygen.c -o keygen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keys.c -o keys.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c onload.c -o onload.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openssh.c -o openssh.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c password.c -o password.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pbkdf.c -o pbkdf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pem.c -o pem.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkcs12.c -o pkcs12.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkcs7.c -o pkcs7.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rand.c -o rand.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rsa.c -o rsa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c signing.c -o signing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ssl.c -o ssl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stream.c -o stream.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.c -o write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c x25519.c -o x25519.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bcrypt/bcrypt_pbkdf.c -o bcrypt/bcrypt_pbkdf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bcrypt/blowfish.c -o bcrypt/blowfish.o ar rcs bcrypt/libstatbcrypt.a bcrypt/bcrypt_pbkdf.o bcrypt/blowfish.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o openssl.so aes.o base64.o bignum.o cert.o compatibility.o diffie.o envelope.o error.o hash.o info.o keygen.o keys.o onload.o openssh.o password.o pbkdf.o pem.o pkcs12.o pkcs7.o rand.o rsa.o signing.o ssl.o stream.o write.o x25519.o -Lbcrypt -lstatbcrypt -L/home/th798/.conda/envs/emacs1/lib -l:libssl.so.1.1 -l:libcrypto.so.1.1 installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-openssl/00new/openssl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (openssl) * installing *source* package 'xopen' ... ** this is package 'xopen' version '1.0.1' ** package 'xopen' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xopen) * installing *source* package 'jquerylib' ... ** this is package 'jquerylib' version '0.1.4' ** package 'jquerylib' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jquerylib) * installing *source* package 'rrcov' ... ** this is package 'rrcov' version '1.7-7' ** package 'rrcov' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R-rng4ftn.c -o R-rng4ftn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c covOPW.c -o covOPW.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ds11.f -o ds11.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fast-mve.c -o fast-mve.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c fsada.f -o fsada.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rrcov_init.c -o rrcov_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sest.c -o sest.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rrcov.so R-rng4ftn.o covOPW.o ds11.o fast-mve.o fsada.o rrcov_init.o sest.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rrcov/00new/rrcov/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rrcov) * installing *source* package 'StanHeaders' ... ** this is package 'StanHeaders' version '2.32.10' ** package 'StanHeaders' successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++17 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_io.c -o cvodes/cvodes_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls.c -o cvodes/cvodes_nls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_diag.c -o cvodes/cvodes_diag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodea.c -o cvodes/cvodea.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_direct.c -o cvodes/cvodes_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodea_io.c -o cvodes/cvodea_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls_stg.c -o cvodes/cvodes_nls_stg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_bbdpre.c -o cvodes/cvodes_bbdpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_bandpre.c -o cvodes/cvodes_bandpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes.c -o cvodes/cvodes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_spils.c -o cvodes/cvodes_spils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_ls.c -o cvodes/cvodes_ls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls_sim.c -o cvodes/cvodes_nls_sim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls_stg1.c -o cvodes/cvodes_nls_stg1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_matrix.c -o sundials/sundials_matrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_futils.c -o sundials/sundials_futils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_direct.c -o sundials/sundials_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_nonlinearsolver.c -o sundials/sundials_nonlinearsolver.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_version.c -o sundials/sundials_version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_band.c -o sundials/sundials_band.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_profiler.c -o sundials/sundials_profiler.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_linearsolver.c -o sundials/sundials_linearsolver.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_math.c -o sundials/sundials_math.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_memory.c -o sundials/sundials_memory.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_context.c -o sundials/sundials_context.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_nvector.c -o sundials/sundials_nvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_iterative.c -o sundials/sundials_iterative.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_nvector_senswrapper.c -o sundials/sundials_nvector_senswrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_dense.c -o sundials/sundials_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunmatrix/band/sunmatrix_band.c -o sunmatrix/band/sunmatrix_band.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunmatrix/dense/sunmatrix_dense.c -o sunmatrix/dense/sunmatrix_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunlinsol/band/sunlinsol_band.c -o sunlinsol/band/sunlinsol_band.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunlinsol/dense/sunlinsol_dense.c -o sunlinsol/dense/sunlinsol_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunnonlinsol/newton/sunnonlinsol_newton.c -o sunnonlinsol/newton/sunnonlinsol_newton.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.c -o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_spils.c -o idas/idas_spils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_ic.c -o idas/idas_ic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idaa.c -o idas/idaa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_direct.c -o idas/idas_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idaa_io.c -o idas/idaa_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_nls_stg.c -o idas/idas_nls_stg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_bbdpre.c -o idas/idas_bbdpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_io.c -o idas/idas_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas.c -o idas/idas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_ls.c -o idas/idas_ls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_nls.c -o idas/idas_nls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_nls_sim.c -o idas/idas_nls_sim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_direct.c -o kinsol/kinsol_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_bbdpre.c -o kinsol/kinsol_bbdpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol.c -o kinsol/kinsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_ls.c -o kinsol/kinsol_ls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_spils.c -o kinsol/kinsol_spils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_io.c -o kinsol/kinsol_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nvector/serial/nvector_serial.c -o nvector/serial/nvector_serial.o ar -rs ../lib/libStanHeaders.a cvodes/cvodes_io.o cvodes/cvodes_nls.o cvodes/cvodes_diag.o cvodes/cvodea.o cvodes/cvodes_direct.o cvodes/cvodea_io.o cvodes/cvodes_nls_stg.o cvodes/cvodes_bbdpre.o cvodes/cvodes_bandpre.o cvodes/cvodes.o cvodes/cvodes_spils.o cvodes/cvodes_ls.o cvodes/cvodes_nls_sim.o cvodes/cvodes_nls_stg1.o sundials/sundials_matrix.o sundials/sundials_futils.o sundials/sundials_direct.o sundials/sundials_nonlinearsolver.o sundials/sundials_version.o sundials/sundials_band.o sundials/sundials_profiler.o sundials/sundials_linearsolver.o sundials/sundials_math.o sundials/sundials_memory.o sundials/sundials_context.o sundials/sundials_nvector.o sundials/sundials_iterative.o sundials/sundials_nvector_senswrapper.o sundials/sundials_dense.o sunmatrix/band/sunmatrix_band.o sunmatrix/dense/sunmatrix_dense.o sunlinsol/band/sunlinsol_band.o sunlinsol/dense/sunlinsol_dense.o sunnonlinsol/newton/sunnonlinsol_newton.o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o idas/idas_spils.o idas/idas_ic.o idas/idaa.o idas/idas_direct.o idas/idaa_io.o idas/idas_nls_stg.o idas/idas_bbdpre.o idas/idas_io.o idas/idas.o idas/idas_ls.o idas/idas_nls.o idas/idas_nls_sim.o sundials/sundials_matrix.o sundials/sundials_futils.o sundials/sundials_direct.o sundials/sundials_nonlinearsolver.o sundials/sundials_version.o sundials/sundials_band.o sundials/sundials_profiler.o sundials/sundials_linearsolver.o sundials/sundials_math.o sundials/sundials_memory.o sundials/sundials_context.o sundials/sundials_nvector.o sundials/sundials_iterative.o sundials/sundials_nvector_senswrapper.o sundials/sundials_dense.o sunmatrix/band/sunmatrix_band.o sunmatrix/dense/sunmatrix_dense.o sunlinsol/band/sunlinsol_band.o sunlinsol/dense/sunlinsol_dense.o sunnonlinsol/newton/sunnonlinsol_newton.o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o kinsol/kinsol_direct.o kinsol/kinsol_bbdpre.o kinsol/kinsol.o kinsol/kinsol_ls.o kinsol/kinsol_spils.o kinsol/kinsol_io.o sundials/sundials_matrix.o sundials/sundials_futils.o sundials/sundials_direct.o sundials/sundials_nonlinearsolver.o sundials/sundials_version.o sundials/sundials_band.o sundials/sundials_profiler.o sundials/sundials_linearsolver.o sundials/sundials_math.o sundials/sundials_memory.o sundials/sundials_context.o sundials/sundials_nvector.o sundials/sundials_iterative.o sundials/sundials_nvector_senswrapper.o sundials/sundials_dense.o sunmatrix/band/sunmatrix_band.o sunmatrix/dense/sunmatrix_dense.o sunlinsol/band/sunlinsol_band.o sunlinsol/dense/sunlinsol_dense.o sunnonlinsol/newton/sunnonlinsol_newton.o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o nvector/serial/nvector_serial.o sundials/sundials_math.o ar: creating ../lib/libStanHeaders.a installing via 'install.libs.R' to /tmp/th798/27261227/R-devel/841/library/00LOCK-StanHeaders/00new/StanHeaders ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (StanHeaders) * installing *source* package 'lubridate' ... ** this is package 'lubridate' version '1.9.5' ** package 'lubridate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c datetime.c -o datetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period.c -o period.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tparse.c -o tparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lubridate.so datetime.o init.o period.o tparse.o utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lubridate/00new/lubridate/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lubridate) * installing *source* package 'Amelia' ... ** this is package 'Amelia' version '1.8.3' ** package 'Amelia' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c em.cpp -o em.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Amelia.so em.o init.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-Amelia/00new/Amelia/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Amelia) * installing *source* package 'bayestestR' ... ** this is package 'bayestestR' version '0.17.0' ** package 'bayestestR' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bayestestR) * installing *source* package 'betareg' ... ** this is package 'betareg' version '3.2-4' ** package 'betareg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c betareg_init.c -o betareg_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c h3F2.c -o h3F2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o betareg.so betareg_init.o h3F2.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-betareg/00new/betareg/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (betareg) * installing *source* package 'bife' ... ** this is package 'bife' version '0.7.3' ** package 'bife' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bias_corr.cpp -o bias_corr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bife.cpp -o bife.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bife.so RcppExports.o bias_corr.o bife.o -fopenmp -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-bife/00new/bife/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bife) ERROR: dependency 'interval' is not available for package 'DCchoice' Perhaps try a variation of: install.packages('interval') * removing '/tmp/th798/27261227/R-devel/841/library/DCchoice' * installing *source* package 'dfidx' ... ** this is package 'dfidx' version '0.2-0' ** package 'dfidx' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dfidx) * installing *source* package 'estimatr' ... ** this is package 'estimatr' version '1.0.6' ** package 'estimatr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:20:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:20:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:22:78: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' RcppExports.cpp:52:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter, 0, Eigen::Stride<0, 0> > >' RcppExports.cpp:85:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c horvitz_thompson_variance.cpp -o horvitz_thompson_variance.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from horvitz_thompson_variance.cpp:4: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' horvitz_thompson_variance.cpp:18:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' horvitz_thompson_variance.cpp:18:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' horvitz_thompson_variance.cpp:20:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lm_robust_helper.cpp -o lm_robust_helper.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from lm_robust_helper.cpp:4: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' lm_robust_helper.cpp:13:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' lm_robust_helper.cpp:13:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' lm_robust_helper.cpp:15:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' lm_robust_helper.cpp:19:26: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' lm_robust_helper.cpp:23:20: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' lm_robust_helper.cpp:48:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Block, -1, 1, true> >' lm_robust_helper.cpp:57:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' lm_robust_helper.cpp:91:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' lm_robust_helper.cpp:100:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' lm_robust_helper.cpp:100:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' lm_robust_helper.cpp:100:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124: required from 'class Eigen::ColPivHouseholderQR >' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from 'class Eigen::ColPivHouseholderQR >' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' lm_robust_helper.cpp:115:124: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' lm_robust_helper.cpp:115:98: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' lm_robust_helper.cpp:131:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2>' lm_robust_helper.cpp:131:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' lm_robust_helper.cpp:133:56: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' lm_robust_helper.cpp:137:14: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>' lm_robust_helper.cpp:137:84: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' lm_robust_helper.cpp:151:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' lm_robust_helper.cpp:156:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' lm_robust_helper.cpp:156:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' lm_robust_helper.cpp:162:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' lm_robust_helper.cpp:163:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' lm_robust_helper.cpp:164:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, false>, 0>' lm_robust_helper.cpp:194:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' lm_robust_helper.cpp:246:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:252:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' lm_robust_helper.cpp:254:26: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' lm_robust_helper.cpp:258:42: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' lm_robust_helper.cpp:258:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' lm_robust_helper.cpp:258:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' lm_robust_helper.cpp:260:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:260:67: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:260:67: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>' lm_robust_helper.cpp:288:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' lm_robust_helper.cpp:292:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' lm_robust_helper.cpp:292:65: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' lm_robust_helper.cpp:292:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:292:84: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:292:84: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:292:87: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array >' lm_robust_helper.cpp:298:42: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' lm_robust_helper.cpp:308:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' lm_robust_helper.cpp:308:85: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' lm_robust_helper.cpp:308:94: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' lm_robust_helper.cpp:308:101: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' lm_robust_helper.cpp:308:120: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' lm_robust_helper.cpp:308:129: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' lm_robust_helper.cpp:308:136: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >' lm_robust_helper.cpp:308:137: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' lm_robust_helper.cpp:308:138: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' lm_robust_helper.cpp:308:138: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' lm_robust_helper.cpp:310:109: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' lm_robust_helper.cpp:310:109: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' lm_robust_helper.cpp:331:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>' lm_robust_helper.cpp:331:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' lm_robust_helper.cpp:331:79: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>' lm_robust_helper.cpp:352:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' lm_robust_helper.cpp:353:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' lm_robust_helper.cpp:365:65: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' lm_robust_helper.cpp:365:65: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >' lm_robust_helper.cpp:366:56: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >' lm_robust_helper.cpp:366:73: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' lm_robust_helper.cpp:369:69: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>' lm_robust_helper.cpp:369:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >' lm_robust_helper.cpp:369:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' lm_robust_helper.cpp:383:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>' lm_robust_helper.cpp:384:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' lm_robust_helper.cpp:396:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' lm_robust_helper.cpp:396:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>' lm_robust_helper.cpp:396:71: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' lm_robust_helper.cpp:403:85: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' lm_robust_helper.cpp:412:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' lm_robust_helper.cpp:413:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' lm_robust_helper.cpp:418:73: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' lm_robust_helper.cpp:429:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' lm_robust_helper.cpp:457:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:465:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:465:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' lm_robust_helper.cpp:495:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >' lm_robust_helper.cpp:495:78: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' lm_robust_helper.cpp:495:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Array]' lm_robust_helper.cpp:29:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Array]' lm_robust_helper.cpp:52:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:21: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:299:31: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:292:87: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:100:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' lm_robust_helper.cpp:137:112: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' lm_robust_helper.cpp:137:112: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:288:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:308:138: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:412:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:418:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:23:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, 1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:48:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Derived = Eigen::Block, -1, 1, true>]' lm_robust_helper.cpp:396:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:115:130: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Derived = Eigen::Block, -1, 1, true>]' lm_robust_helper.cpp:396:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::DiagonalWrapper, 1, -1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:494:61: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from 'static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:260:67: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:12: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c naomit.cpp -o naomit.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from naomit.cpp:4: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o estimatr.so RcppExports.o horvitz_thompson_variance.o lm_robust_helper.o naomit.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-estimatr/00new/estimatr/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (estimatr) * installing *source* package 'future.apply' ... ** this is package 'future.apply' version '1.20.2' ** package 'future.apply' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future.apply) * installing *source* package 'gam' ... ** this is package 'gam' version '1.22-7' ** package 'gam' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c backfit.f -o backfit.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c backlo.f -o backlo.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bsplvd.f -o bsplvd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bvalue.f -o bvalue.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bvalus.f -o bvalus.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gam_init.c -o gam_init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c linear.f -o linear.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lo.f -o lo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loessc.c -o loessc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c loessf.f -o loessf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c qsbart.f -o qsbart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sbart.c -o sbart.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sgram.f -o sgram.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sinerp.f -o sinerp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c splsm.f -o splsm.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sslvrg.f -o sslvrg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c stxwx.f -o stxwx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gam.so backfit.o backlo.o bsplvd.o bvalue.o bvalus.o gam_init.o linear.o lo.o loessc.o loessf.o qsbart.o sbart.o sgram.o sinerp.o splsm.o sslvrg.o stxwx.o -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-gam/00new/gam/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gam) * installing *source* package 'glmx' ... ** this is package 'glmx' version '0.2-1' ** package 'glmx' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmx) * installing *source* package 'mclogit' ... ** this is package 'mclogit' version '0.9.15' ** package 'mclogit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mclogit) * installing *source* package 'MCMCglmm' ... ** this is package 'MCMCglmm' version '2.36' ** package 'MCMCglmm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMCglmm.cc -o MCMCglmm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMCglmm_init.c -o MCMCglmm_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_add.c -o cs_add.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_addR.c -o cs_addR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_amd.c -o cs_amd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cbind.c -o cs_cbind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_chol.c -o cs_chol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cholsol.c -o cs_cholsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_compress.c -o cs_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_counts.c -o cs_counts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cov2cor.c -o cs_cov2cor.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cumsum.c -o cs_cumsum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dcmvnorm.c -o cs_dcmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dense.c -o cs_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dense0.c -o cs_dense0.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dfs.c -o cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_directsum.c -o cs_directsum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_directsumupdate.c -o cs_directsumupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dmperm.c -o cs_dmperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dmvnorm.c -o cs_dmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_droptol.c -o cs_droptol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dropzeros.c -o cs_dropzeros.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dupl.c -o cs_dupl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_entry.c -o cs_entry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_ereach.c -o cs_ereach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_etree.c -o cs_etree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_fkeep.c -o cs_fkeep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_gaxpy.c -o cs_gaxpy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_happly.c -o cs_happly.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_house.c -o cs_house.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_inv.c -o cs_inv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_invR.c -o cs_invR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_ipvec.c -o cs_ipvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerA.c -o cs_kroneckerA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerAupdate.c -o cs_kroneckerAupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerDA.c -o cs_kroneckerDA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerDI.c -o cs_kroneckerDI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerI.c -o cs_kroneckerI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerIadd.c -o cs_kroneckerIadd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerIupdate.c -o cs_kroneckerIupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerSI.c -o cs_kroneckerSI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerSIupdate.c -o cs_kroneckerSIupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_leaf.c -o cs_leaf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_load.c -o cs_load.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_lsolve.c -o cs_lsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_ltsolve.c -o cs_ltsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_lu.c -o cs_lu.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_lusol.c -o cs_lusol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_malloc.c -o cs_malloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_maxtrans.c -o cs_maxtrans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_multiply.c -o cs_multiply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_norm.c -o cs_norm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_omega.c -o cs_omega.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_omegaupdate.c -o cs_omegaupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_permute.c -o cs_permute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_pinv.c -o cs_pinv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_post.c -o cs_post.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_print.c -o cs_print.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_pvec.c -o cs_pvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_qr.c -o cs_qr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_qrsol.c -o cs_qrsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rAnte.c -o cs_rAnte.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rCinvwishart.c -o cs_rCinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rR.c -o cs_rR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rRsubinvwishart.c -o cs_rRsubinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rSinvwishart.c -o cs_rSinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_randperm.c -o cs_randperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_reach.c -o cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rinvwishart.c -o cs_rinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rwishart.c -o cs_rwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_scatter.c -o cs_scatter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_scc.c -o cs_scc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_schol.c -o cs_schol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_schur.c -o cs_schur.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_sortdv.c -o cs_sortdv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_spsolve.c -o cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_sqr.c -o cs_sqr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_symperm.c -o cs_symperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_tdfs.c -o cs_tdfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_transpose.c -o cs_transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_updown.c -o cs_updown.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_usolve.c -o cs_usolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_util.c -o cs_util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_utsolve.c -o cs_utsolve.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dcmvnormR.cc -o dcmvnormR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dcutpoints.c -o dcutpoints.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inverseA.cc -o inverseA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pcmvnorm.c -o pcmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkk.c -o pkk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkkR.cc -o pkkR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rIW.cc -o rIW.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rante.cc -o rante.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbv.cc -o rbv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtcmvnorm.c -o rtcmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtcmvnormR.cc -o rtcmvnormR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtnorm.c -o rtnorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtnormR.cc -o rtnormR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o MCMCglmm.so MCMCglmm.o MCMCglmm_init.o cs_add.o cs_addR.o cs_amd.o cs_cbind.o cs_chol.o cs_cholsol.o cs_compress.o cs_counts.o cs_cov2cor.o cs_cumsum.o cs_dcmvnorm.o cs_dense.o cs_dense0.o cs_dfs.o cs_directsum.o cs_directsumupdate.o cs_dmperm.o cs_dmvnorm.o cs_droptol.o cs_dropzeros.o cs_dupl.o cs_entry.o cs_ereach.o cs_etree.o cs_fkeep.o cs_gaxpy.o cs_happly.o cs_house.o cs_inv.o cs_invR.o cs_ipvec.o cs_kroneckerA.o cs_kroneckerAupdate.o cs_kroneckerDA.o cs_kroneckerDI.o cs_kroneckerI.o cs_kroneckerIadd.o cs_kroneckerIupdate.o cs_kroneckerSI.o cs_kroneckerSIupdate.o cs_leaf.o cs_load.o cs_lsolve.o cs_ltsolve.o cs_lu.o cs_lusol.o cs_malloc.o cs_maxtrans.o cs_multiply.o cs_norm.o cs_omega.o cs_omegaupdate.o cs_permute.o cs_pinv.o cs_post.o cs_print.o cs_pvec.o cs_qr.o cs_qrsol.o cs_rAnte.o cs_rCinvwishart.o cs_rR.o cs_rRsubinvwishart.o cs_rSinvwishart.o cs_randperm.o cs_reach.o cs_rinvwishart.o cs_rwishart.o cs_scatter.o cs_scc.o cs_schol.o cs_schur.o cs_sortdv.o cs_spsolve.o cs_sqr.o cs_symperm.o cs_tdfs.o cs_transpose.o cs_updown.o cs_usolve.o cs_util.o cs_utsolve.o dcmvnormR.o dcutpoints.o inverseA.o pcmvnorm.o pkk.o pkkR.o rIW.o rante.o rbv.o rtcmvnorm.o rtcmvnormR.o rtnorm.o rtnormR.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-MCMCglmm/00new/MCMCglmm/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MCMCglmm) * installing *source* package 'multcomp' ... ** this is package 'multcomp' version '1.4-30' ** package 'multcomp' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (multcomp) * installing *source* package 'reticulate' ... ** this is package 'reticulate' version '1.45.0' ** package 'reticulate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c event_loop.cpp -o event_loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libpython.cpp -o libpython.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c output.cpp -o output.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pending_py_calls_notifier.cpp -o pending_py_calls_notifier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c python.cpp -o python.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readline.cpp -o readline.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c signals.cpp -o signals.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o reticulate.so RcppExports.o event_loop.o libpython.o output.o pending_py_calls_notifier.o python.o readline.o signals.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-reticulate/00new/reticulate/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reticulate) * installing *source* package 'rstantools' ... ** this is package 'rstantools' version '2.6.0' ** package 'rstantools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstantools) * installing *source* package 'rstpm2' ... ** this is package 'rstpm2' version '1.7.1' ** package 'rstpm2' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aft.cpp -o aft.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c_optim.cpp -o c_optim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cox_ph.cpp -o cox_ph.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c gaussq2.f -o gaussq2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsm.cpp -o gsm.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c laplace.f90 -o laplace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multistate.cpp -o multistate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c package_init.c -o package_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pluginEstimate2.cpp -o pluginEstimate2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c splines.cpp -o splines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-nmmin.cpp -o test-nmmin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vintegrate.cpp -o vintegrate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vuniroot.cpp -o vuniroot.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rstpm2.so RcppExports.o aft.o c_optim.o cox_ph.o gaussq2.o gsm.o laplace.o multistate.o package_init.o pluginEstimate2.o splines.o test-nmmin.o utils.o vintegrate.o vuniroot.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rstpm2/00new/rstpm2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstpm2) * installing *source* package 'speedglm' ... ** this is package 'speedglm' version '0.3-5' ** package 'speedglm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (speedglm) * installing *source* package 'survey' ... ** this is package 'survey' version '4.5' ** package 'survey' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arma_multistage.cpp -o arma_multistage.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o survey.so RcppExports.o arma_multistage.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-survey/00new/survey/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (survey) * installing *source* package 'systemfonts' ... ** this is package 'systemfonts' version '1.3.2' ** package 'systemfonts' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lfontconfig -lfreetype ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' rm -f systemfonts.so caches.o cpp11.o dev_metrics.o font_matching.o font_local.o font_variation.o font_registry.o ft_cache.o string_shape.o font_metrics.o font_outlines.o font_fallback.o string_metrics.o emoji.o cache_store.o init.o unix/FontManagerLinux.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c caches.cpp -o caches.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dev_metrics.cpp -o dev_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_matching.cpp -o font_matching.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_local.cpp -o font_local.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_variation.cpp -o font_variation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_registry.cpp -o font_registry.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ft_cache.cpp -o ft_cache.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_shape.cpp -o string_shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_metrics.cpp -o font_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_outlines.cpp -o font_outlines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_fallback.cpp -o font_fallback.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_metrics.cpp -o string_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c emoji.cpp -o emoji.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cache_store.cpp -o cache_store.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/FontManagerLinux.cpp -o unix/FontManagerLinux.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o systemfonts.so caches.o cpp11.o dev_metrics.o font_matching.o font_local.o font_variation.o font_registry.o ft_cache.o string_shape.o font_metrics.o font_outlines.o font_fallback.o string_metrics.o emoji.o cache_store.o init.o unix/FontManagerLinux.o -L/home/th798/.conda/envs/emacs1/lib -lfontconfig -lfreetype installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-systemfonts/00new/systemfonts/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (systemfonts) * installing *source* package 'tinysnapshot' ... ** this is package 'tinysnapshot' version '0.2.0' ** package 'tinysnapshot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinysnapshot) * installing *source* package 'knitr' ... ** this is package 'knitr' version '1.51' ** package 'knitr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (knitr) * installing *source* package 'marginaleffects' ... ** this is package 'marginaleffects' version '0.32.0' ** package 'marginaleffects' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (marginaleffects) * installing *source* package 'lava' ... ** this is package 'lava' version '1.8.2' ** package 'lava' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lava) * installing *source* package 'doFuture' ... ** this is package 'doFuture' version '1.2.1' ** package 'doFuture' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (doFuture) * installing *source* package 'igraph' ... ** this is package 'igraph' version '2.2.2' ** package 'igraph' successfully unpacked and MD5 sums checked ** using staged installation libxml2 include directories: -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include libxml2 library link flags: -L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl Using installed GLPK /usr/bin/cp -f src/Makevars.new src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dgetv0.f -o vendor/arpack/dgetv0.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dlaqrb.f -o vendor/arpack/dlaqrb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dmout.f -o vendor/arpack/dmout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnaitr.f -o vendor/arpack/dnaitr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnapps.f -o vendor/arpack/dnapps.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnaup2.f -o vendor/arpack/dnaup2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnaupd.f -o vendor/arpack/dnaupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnconv.f -o vendor/arpack/dnconv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dneigh.f -o vendor/arpack/dneigh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dneupd.f -o vendor/arpack/dneupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dngets.f -o vendor/arpack/dngets.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsaitr.f -o vendor/arpack/dsaitr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsapps.f -o vendor/arpack/dsapps.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsaup2.f -o vendor/arpack/dsaup2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsaupd.f -o vendor/arpack/dsaupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsconv.f -o vendor/arpack/dsconv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dseigt.f -o vendor/arpack/dseigt.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsesrt.f -o vendor/arpack/dsesrt.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dseupd.f -o vendor/arpack/dseupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsgets.f -o vendor/arpack/dsgets.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsortc.f -o vendor/arpack/dsortc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsortr.f -o vendor/arpack/dsortr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dstatn.f -o vendor/arpack/dstatn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dstats.f -o vendor/arpack/dstats.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dstqrb.f -o vendor/arpack/dstqrb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dvout.f -o vendor/arpack/dvout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/ivout.f -o vendor/arpack/ivout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/second.f -o vendor/arpack/second.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/wrap.f -o vendor/arpack/wrap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/betweenness.c -o vendor/cigraph/src/centrality/betweenness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/centrality_other.c -o vendor/cigraph/src/centrality/centrality_other.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/centralization.c -o vendor/cigraph/src/centrality/centralization.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/closeness.c -o vendor/cigraph/src/centrality/closeness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/coreness.c -o vendor/cigraph/src/centrality/coreness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/eigenvector.c -o vendor/cigraph/src/centrality/eigenvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/hub_authority.c -o vendor/cigraph/src/centrality/hub_authority.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/pagerank.c -o vendor/cigraph/src/centrality/pagerank.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack.cpp -o vendor/cigraph/src/centrality/prpack.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_base_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_base_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_result.cpp -o vendor/cigraph/src/centrality/prpack/prpack_result.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_solver.cpp -o vendor/cigraph/src/centrality/prpack/prpack_solver.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_utils.cpp -o vendor/cigraph/src/centrality/prpack/prpack_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/truss.cpp -o vendor/cigraph/src/centrality/truss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer/cliquer.c -o vendor/cigraph/src/cliques/cliquer/cliquer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer/cliquer_graph.c -o vendor/cigraph/src/cliques/cliquer/cliquer_graph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer/reorder.c -o vendor/cigraph/src/cliques/cliquer/reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer_wrapper.c -o vendor/cigraph/src/cliques/cliquer_wrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliques.c -o vendor/cigraph/src/cliques/cliques.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/glet.c -o vendor/cigraph/src/cliques/glet.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/maximal_cliques.c -o vendor/cigraph/src/cliques/maximal_cliques.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/community_misc.c -o vendor/cigraph/src/community/community_misc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/edge_betweenness.c -o vendor/cigraph/src/community/edge_betweenness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/fast_modularity.c -o vendor/cigraph/src/community/fast_modularity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/fluid.c -o vendor/cigraph/src/community/fluid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/infomap/infomap.cc -o vendor/cigraph/src/community/infomap/infomap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/infomap/infomap_FlowGraph.cc -o vendor/cigraph/src/community/infomap/infomap_FlowGraph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/infomap/infomap_Greedy.cc -o vendor/cigraph/src/community/infomap/infomap_Greedy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/label_propagation.c -o vendor/cigraph/src/community/label_propagation.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/leading_eigenvector.c -o vendor/cigraph/src/community/leading_eigenvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/leiden.c -o vendor/cigraph/src/community/leiden.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/louvain.c -o vendor/cigraph/src/community/louvain.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/modularity.c -o vendor/cigraph/src/community/modularity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/optimal_modularity.c -o vendor/cigraph/src/community/optimal_modularity.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/NetDataTypes.cpp -o vendor/cigraph/src/community/spinglass/NetDataTypes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/NetRoutines.cpp -o vendor/cigraph/src/community/spinglass/NetRoutines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/clustertool.cpp -o vendor/cigraph/src/community/spinglass/clustertool.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/pottsmodel_2.cpp -o vendor/cigraph/src/community/spinglass/pottsmodel_2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/voronoi.c -o vendor/cigraph/src/community/voronoi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap.cpp -o vendor/cigraph/src/community/walktrap/walktrap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap_communities.cpp -o vendor/cigraph/src/community/walktrap/walktrap_communities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap_graph.cpp -o vendor/cigraph/src/community/walktrap/walktrap_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap_heap.cpp -o vendor/cigraph/src/community/walktrap/walktrap_heap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/cohesive_blocks.c -o vendor/cigraph/src/connectivity/cohesive_blocks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/components.c -o vendor/cigraph/src/connectivity/components.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/percolation.c -o vendor/cigraph/src/connectivity/percolation.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/reachability.c -o vendor/cigraph/src/connectivity/reachability.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/separators.c -o vendor/cigraph/src/connectivity/separators.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/adjacency.c -o vendor/cigraph/src/constructors/adjacency.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/atlas.c -o vendor/cigraph/src/constructors/atlas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/basic_constructors.c -o vendor/cigraph/src/constructors/basic_constructors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/circulant.c -o vendor/cigraph/src/constructors/circulant.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/de_bruijn.c -o vendor/cigraph/src/constructors/de_bruijn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/famous.c -o vendor/cigraph/src/constructors/famous.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/full.c -o vendor/cigraph/src/constructors/full.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/generalized_petersen.c -o vendor/cigraph/src/constructors/generalized_petersen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/kautz.c -o vendor/cigraph/src/constructors/kautz.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/lattices.c -o vendor/cigraph/src/constructors/lattices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/lcf.c -o vendor/cigraph/src/constructors/lcf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/linegraph.c -o vendor/cigraph/src/constructors/linegraph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/mycielskian.c -o vendor/cigraph/src/constructors/mycielskian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/prufer.c -o vendor/cigraph/src/constructors/prufer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/regular.c -o vendor/cigraph/src/constructors/regular.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/trees.c -o vendor/cigraph/src/constructors/trees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/array.c -o vendor/cigraph/src/core/array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/bitset.c -o vendor/cigraph/src/core/bitset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/bitset_list.c -o vendor/cigraph/src/core/bitset_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/buckets.c -o vendor/cigraph/src/core/buckets.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/cutheap.c -o vendor/cigraph/src/core/cutheap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/dqueue.c -o vendor/cigraph/src/core/dqueue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/error.c -o vendor/cigraph/src/core/error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/estack.c -o vendor/cigraph/src/core/estack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/fixed_vectorlist.c -o vendor/cigraph/src/core/fixed_vectorlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/genheap.c -o vendor/cigraph/src/core/genheap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/grid.c -o vendor/cigraph/src/core/grid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/heap.c -o vendor/cigraph/src/core/heap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/indheap.c -o vendor/cigraph/src/core/indheap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/interruption.c -o vendor/cigraph/src/core/interruption.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/marked_queue.c -o vendor/cigraph/src/core/marked_queue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/matrix.c -o vendor/cigraph/src/core/matrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/matrix_list.c -o vendor/cigraph/src/core/matrix_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/memory.c -o vendor/cigraph/src/core/memory.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/printing.c -o vendor/cigraph/src/core/printing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/progress.c -o vendor/cigraph/src/core/progress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/psumtree.c -o vendor/cigraph/src/core/psumtree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/set.c -o vendor/cigraph/src/core/set.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/sparsemat.c -o vendor/cigraph/src/core/sparsemat.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/stack.c -o vendor/cigraph/src/core/stack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/statusbar.c -o vendor/cigraph/src/core/statusbar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/strvector.c -o vendor/cigraph/src/core/strvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/trie.c -o vendor/cigraph/src/core/trie.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/vector.c -o vendor/cigraph/src/core/vector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/vector_list.c -o vendor/cigraph/src/core/vector_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/vector_ptr.c -o vendor/cigraph/src/core/vector_ptr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cycles/simple_cycles.c -o vendor/cigraph/src/cycles/simple_cycles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/flow/flow.c -o vendor/cigraph/src/flow/flow.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/flow/flow_conversion.c -o vendor/cigraph/src/flow/flow_conversion.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/flow/st-cuts.c -o vendor/cigraph/src/flow/st-cuts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/barabasi.c -o vendor/cigraph/src/games/barabasi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/callaway_traits.c -o vendor/cigraph/src/games/callaway_traits.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/chung_lu.c -o vendor/cigraph/src/games/chung_lu.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/citations.c -o vendor/cigraph/src/games/citations.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/correlated.c -o vendor/cigraph/src/games/correlated.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence.c -o vendor/cigraph/src/games/degree_sequence.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/dotproduct.c -o vendor/cigraph/src/games/dotproduct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/erdos_renyi.c -o vendor/cigraph/src/games/erdos_renyi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/establishment.c -o vendor/cigraph/src/games/establishment.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/forestfire.c -o vendor/cigraph/src/games/forestfire.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/grg.c -o vendor/cigraph/src/games/grg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/growing_random.c -o vendor/cigraph/src/games/growing_random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/islands.c -o vendor/cigraph/src/games/islands.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/k_regular.c -o vendor/cigraph/src/games/k_regular.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/preference.c -o vendor/cigraph/src/games/preference.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/recent_degree.c -o vendor/cigraph/src/games/recent_degree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/sbm.c -o vendor/cigraph/src/games/sbm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/static_fitness.c -o vendor/cigraph/src/games/static_fitness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/tree.c -o vendor/cigraph/src/games/tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/watts_strogatz.c -o vendor/cigraph/src/games/watts_strogatz.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/adjlist.c -o vendor/cigraph/src/graph/adjlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/attributes.c -o vendor/cigraph/src/graph/attributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/basic_query.c -o vendor/cigraph/src/graph/basic_query.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/caching.c -o vendor/cigraph/src/graph/caching.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/cattributes.c -o vendor/cigraph/src/graph/cattributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/graph_list.c -o vendor/cigraph/src/graph/graph_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/iterators.c -o vendor/cigraph/src/graph/iterators.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/type_common.c -o vendor/cigraph/src/graph/type_common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/type_indexededgelist.c -o vendor/cigraph/src/graph/type_indexededgelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/visitors.c -o vendor/cigraph/src/graph/visitors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/hrg/hrg.cc -o vendor/cigraph/src/hrg/hrg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/hrg/hrg_types.cc -o vendor/cigraph/src/hrg/hrg_types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/glpk_support.c -o vendor/cigraph/src/internal/glpk_support.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/hacks.c -o vendor/cigraph/src/internal/hacks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/lsap.c -o vendor/cigraph/src/internal/lsap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/qsort.c -o vendor/cigraph/src/internal/qsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/qsort_r.c -o vendor/cigraph/src/internal/qsort_r.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/utils.c -o vendor/cigraph/src/internal/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/zeroin.c -o vendor/cigraph/src/internal/zeroin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/dimacs.c -o vendor/cigraph/src/io/dimacs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/dl.c -o vendor/cigraph/src/io/dl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/dot.c -o vendor/cigraph/src/io/dot.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/edgelist.c -o vendor/cigraph/src/io/edgelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/gml-tree.c -o vendor/cigraph/src/io/gml-tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/gml.c -o vendor/cigraph/src/io/gml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/graphdb.c -o vendor/cigraph/src/io/graphdb.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/graphml.c -o vendor/cigraph/src/io/graphml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/leda.c -o vendor/cigraph/src/io/leda.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/lgl.c -o vendor/cigraph/src/io/lgl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/ncol.c -o vendor/cigraph/src/io/ncol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/pajek.c -o vendor/cigraph/src/io/pajek.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/parse_utils.c -o vendor/cigraph/src/io/parse_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss.cc -o vendor/cigraph/src/isomorphism/bliss.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/defs.cc -o vendor/cigraph/src/isomorphism/bliss/defs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/graph.cc -o vendor/cigraph/src/isomorphism/bliss/graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/heap.cc -o vendor/cigraph/src/isomorphism/bliss/heap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/orbit.cc -o vendor/cigraph/src/isomorphism/bliss/orbit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/partition.cc -o vendor/cigraph/src/isomorphism/bliss/partition.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/uintseqhash.cc -o vendor/cigraph/src/isomorphism/bliss/uintseqhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/utils.cc -o vendor/cigraph/src/isomorphism/bliss/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/isoclasses.c -o vendor/cigraph/src/isomorphism/isoclasses.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/isomorphism_misc.c -o vendor/cigraph/src/isomorphism/isomorphism_misc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/lad.c -o vendor/cigraph/src/isomorphism/lad.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/queries.c -o vendor/cigraph/src/isomorphism/queries.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/vf2.c -o vendor/cigraph/src/isomorphism/vf2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/align.c -o vendor/cigraph/src/layout/align.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/circular.c -o vendor/cigraph/src/layout/circular.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/davidson_harel.c -o vendor/cigraph/src/layout/davidson_harel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/DensityGrid.cpp -o vendor/cigraph/src/layout/drl/DensityGrid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/DensityGrid_3d.cpp -o vendor/cigraph/src/layout/drl/DensityGrid_3d.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_graph.cpp -o vendor/cigraph/src/layout/drl/drl_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_graph_3d.cpp -o vendor/cigraph/src/layout/drl/drl_graph_3d.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_layout.cpp -o vendor/cigraph/src/layout/drl/drl_layout.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_layout_3d.cpp -o vendor/cigraph/src/layout/drl/drl_layout_3d.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_parse.cpp -o vendor/cigraph/src/layout/drl/drl_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/fruchterman_reingold.c -o vendor/cigraph/src/layout/fruchterman_reingold.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/gem.c -o vendor/cigraph/src/layout/gem.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/graphopt.c -o vendor/cigraph/src/layout/graphopt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/kamada_kawai.c -o vendor/cigraph/src/layout/kamada_kawai.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/large_graph.c -o vendor/cigraph/src/layout/large_graph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/layout_bipartite.c -o vendor/cigraph/src/layout/layout_bipartite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/layout_grid.c -o vendor/cigraph/src/layout/layout_grid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/layout_random.c -o vendor/cigraph/src/layout/layout_random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/mds.c -o vendor/cigraph/src/layout/mds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/merge_dla.c -o vendor/cigraph/src/layout/merge_dla.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/merge_grid.c -o vendor/cigraph/src/layout/merge_grid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/reingold_tilford.c -o vendor/cigraph/src/layout/reingold_tilford.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/sugiyama.c -o vendor/cigraph/src/layout/sugiyama.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/umap.c -o vendor/cigraph/src/layout/umap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/arpack.c -o vendor/cigraph/src/linalg/arpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/blas.c -o vendor/cigraph/src/linalg/blas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/eigen.c -o vendor/cigraph/src/linalg/eigen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/lapack.c -o vendor/cigraph/src/linalg/lapack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/math/complex.c -o vendor/cigraph/src/math/complex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/math/safe_intop.c -o vendor/cigraph/src/math/safe_intop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/math/utils.c -o vendor/cigraph/src/math/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/bipartite.c -o vendor/cigraph/src/misc/bipartite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/chordality.c -o vendor/cigraph/src/misc/chordality.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/cocitation.c -o vendor/cigraph/src/misc/cocitation.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/coloring.c -o vendor/cigraph/src/misc/coloring.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/conversion.c -o vendor/cigraph/src/misc/conversion.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/cycle_bases.c -o vendor/cigraph/src/misc/cycle_bases.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/degree_sequence.cpp -o vendor/cigraph/src/misc/degree_sequence.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/embedding.c -o vendor/cigraph/src/misc/embedding.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/feedback_arc_set.c -o vendor/cigraph/src/misc/feedback_arc_set.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/graphicality.c -o vendor/cigraph/src/misc/graphicality.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/matching.c -o vendor/cigraph/src/misc/matching.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/microscopic_update.c -o vendor/cigraph/src/misc/microscopic_update.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/mixing.c -o vendor/cigraph/src/misc/mixing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/motifs.c -o vendor/cigraph/src/misc/motifs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/order_cycle.cpp -o vendor/cigraph/src/misc/order_cycle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/other.c -o vendor/cigraph/src/misc/other.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/power_law_fit.c -o vendor/cigraph/src/misc/power_law_fit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/scan.c -o vendor/cigraph/src/misc/scan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/sir.c -o vendor/cigraph/src/misc/sir.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/spanning_trees.c -o vendor/cigraph/src/misc/spanning_trees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/add_edge.c -o vendor/cigraph/src/operators/add_edge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/complementer.c -o vendor/cigraph/src/operators/complementer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/compose.c -o vendor/cigraph/src/operators/compose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/connect_neighborhood.c -o vendor/cigraph/src/operators/connect_neighborhood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/contract.c -o vendor/cigraph/src/operators/contract.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/difference.c -o vendor/cigraph/src/operators/difference.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/disjoint_union.c -o vendor/cigraph/src/operators/disjoint_union.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/intersection.c -o vendor/cigraph/src/operators/intersection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/join.c -o vendor/cigraph/src/operators/join.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/misc_internal.c -o vendor/cigraph/src/operators/misc_internal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/permute.c -o vendor/cigraph/src/operators/permute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/products.c -o vendor/cigraph/src/operators/products.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/reverse.c -o vendor/cigraph/src/operators/reverse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/rewire.c -o vendor/cigraph/src/operators/rewire.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/rewire_edges.c -o vendor/cigraph/src/operators/rewire_edges.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/simplify.c -o vendor/cigraph/src/operators/simplify.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/subgraph.c -o vendor/cigraph/src/operators/subgraph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/union.c -o vendor/cigraph/src/operators/union.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/all_shortest_paths.c -o vendor/cigraph/src/paths/all_shortest_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/astar.c -o vendor/cigraph/src/paths/astar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/bellman_ford.c -o vendor/cigraph/src/paths/bellman_ford.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/dijkstra.c -o vendor/cigraph/src/paths/dijkstra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/distances.c -o vendor/cigraph/src/paths/distances.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/eulerian.c -o vendor/cigraph/src/paths/eulerian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/floyd_warshall.c -o vendor/cigraph/src/paths/floyd_warshall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/histogram.c -o vendor/cigraph/src/paths/histogram.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/johnson.c -o vendor/cigraph/src/paths/johnson.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/random_walk.c -o vendor/cigraph/src/paths/random_walk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/shortest_paths.c -o vendor/cigraph/src/paths/shortest_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/simple_paths.c -o vendor/cigraph/src/paths/simple_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/sparsifier.c -o vendor/cigraph/src/paths/sparsifier.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/unweighted.c -o vendor/cigraph/src/paths/unweighted.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/voronoi.c -o vendor/cigraph/src/paths/voronoi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/widest_paths.c -o vendor/cigraph/src/paths/widest_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/basic_properties.c -o vendor/cigraph/src/properties/basic_properties.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/complete.c -o vendor/cigraph/src/properties/complete.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/constraint.c -o vendor/cigraph/src/properties/constraint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/convergence_degree.c -o vendor/cigraph/src/properties/convergence_degree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/dag.c -o vendor/cigraph/src/properties/dag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/degrees.c -o vendor/cigraph/src/properties/degrees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/ecc.c -o vendor/cigraph/src/properties/ecc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/girth.c -o vendor/cigraph/src/properties/girth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/loops.c -o vendor/cigraph/src/properties/loops.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/multiplicity.c -o vendor/cigraph/src/properties/multiplicity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/neighborhood.c -o vendor/cigraph/src/properties/neighborhood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/perfect.c -o vendor/cigraph/src/properties/perfect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/rich_club.c -o vendor/cigraph/src/properties/rich_club.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/spectral.c -o vendor/cigraph/src/properties/spectral.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/trees.c -o vendor/cigraph/src/properties/trees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/triangles.c -o vendor/cigraph/src/properties/triangles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/random.c -o vendor/cigraph/src/random/random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_glibc2.c -o vendor/cigraph/src/random/rng_glibc2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_mt19937.c -o vendor/cigraph/src/random/rng_mt19937.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_pcg32.c -o vendor/cigraph/src/random/rng_pcg32.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_pcg64.c -o vendor/cigraph/src/random/rng_pcg64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/version.c -o vendor/cigraph/src/version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_add.c -o vendor/cigraph/vendor/cs/cs_add.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_amd.c -o vendor/cigraph/vendor/cs/cs_amd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_chol.c -o vendor/cigraph/vendor/cs/cs_chol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_cholsol.c -o vendor/cigraph/vendor/cs/cs_cholsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_compress.c -o vendor/cigraph/vendor/cs/cs_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_counts.c -o vendor/cigraph/vendor/cs/cs_counts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_cumsum.c -o vendor/cigraph/vendor/cs/cs_cumsum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dfs.c -o vendor/cigraph/vendor/cs/cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dmperm.c -o vendor/cigraph/vendor/cs/cs_dmperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_droptol.c -o vendor/cigraph/vendor/cs/cs_droptol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dropzeros.c -o vendor/cigraph/vendor/cs/cs_dropzeros.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dupl.c -o vendor/cigraph/vendor/cs/cs_dupl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_entry.c -o vendor/cigraph/vendor/cs/cs_entry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_ereach.c -o vendor/cigraph/vendor/cs/cs_ereach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_etree.c -o vendor/cigraph/vendor/cs/cs_etree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_fkeep.c -o vendor/cigraph/vendor/cs/cs_fkeep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_gaxpy.c -o vendor/cigraph/vendor/cs/cs_gaxpy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_happly.c -o vendor/cigraph/vendor/cs/cs_happly.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_house.c -o vendor/cigraph/vendor/cs/cs_house.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_ipvec.c -o vendor/cigraph/vendor/cs/cs_ipvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_leaf.c -o vendor/cigraph/vendor/cs/cs_leaf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_load.c -o vendor/cigraph/vendor/cs/cs_load.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_lsolve.c -o vendor/cigraph/vendor/cs/cs_lsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_ltsolve.c -o vendor/cigraph/vendor/cs/cs_ltsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_lu.c -o vendor/cigraph/vendor/cs/cs_lu.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_lusol.c -o vendor/cigraph/vendor/cs/cs_lusol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_malloc.c -o vendor/cigraph/vendor/cs/cs_malloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_maxtrans.c -o vendor/cigraph/vendor/cs/cs_maxtrans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_multiply.c -o vendor/cigraph/vendor/cs/cs_multiply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_norm.c -o vendor/cigraph/vendor/cs/cs_norm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_permute.c -o vendor/cigraph/vendor/cs/cs_permute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_pinv.c -o vendor/cigraph/vendor/cs/cs_pinv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_post.c -o vendor/cigraph/vendor/cs/cs_post.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_print.c -o vendor/cigraph/vendor/cs/cs_print.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_pvec.c -o vendor/cigraph/vendor/cs/cs_pvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_qr.c -o vendor/cigraph/vendor/cs/cs_qr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_qrsol.c -o vendor/cigraph/vendor/cs/cs_qrsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_randperm.c -o vendor/cigraph/vendor/cs/cs_randperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_reach.c -o vendor/cigraph/vendor/cs/cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_scatter.c -o vendor/cigraph/vendor/cs/cs_scatter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_scc.c -o vendor/cigraph/vendor/cs/cs_scc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_schol.c -o vendor/cigraph/vendor/cs/cs_schol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_spsolve.c -o vendor/cigraph/vendor/cs/cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_sqr.c -o vendor/cigraph/vendor/cs/cs_sqr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_symperm.c -o vendor/cigraph/vendor/cs/cs_symperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_tdfs.c -o vendor/cigraph/vendor/cs/cs_tdfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_transpose.c -o vendor/cigraph/vendor/cs/cs_transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_updown.c -o vendor/cigraph/vendor/cs/cs_updown.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_usolve.c -o vendor/cigraph/vendor/cs/cs_usolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_util.c -o vendor/cigraph/vendor/cs/cs_util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_utsolve.c -o vendor/cigraph/vendor/cs/cs_utsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-advance-128.c -o vendor/cigraph/vendor/pcg/pcg-advance-128.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-advance-64.c -o vendor/cigraph/vendor/pcg/pcg-advance-64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-output-128.c -o vendor/cigraph/vendor/pcg/pcg-output-128.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-output-32.c -o vendor/cigraph/vendor/pcg/pcg-output-32.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-output-64.c -o vendor/cigraph/vendor/pcg/pcg-output-64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-rngs-128.c -o vendor/cigraph/vendor/pcg/pcg-rngs-128.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-rngs-64.c -o vendor/cigraph/vendor/pcg/pcg-rngs-64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/gss.c -o vendor/cigraph/vendor/plfit/gss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/hzeta.c -o vendor/cigraph/vendor/plfit/hzeta.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/kolmogorov.c -o vendor/cigraph/vendor/plfit/kolmogorov.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/lbfgs.c -o vendor/cigraph/vendor/plfit/lbfgs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/mt.c -o vendor/cigraph/vendor/plfit/mt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/options.c -o vendor/cigraph/vendor/plfit/options.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/plfit.c -o vendor/cigraph/vendor/plfit/plfit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/plfit_error.c -o vendor/cigraph/vendor/plfit/plfit_error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/rbinom.c -o vendor/cigraph/vendor/plfit/rbinom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/sampling.c -o vendor/cigraph/vendor/plfit/sampling.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/dl-lexer.c -o vendor/io/dl-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/dl-parser.c -o vendor/io/dl-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/gml-lexer.c -o vendor/io/gml-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/gml-parser.c -o vendor/io/gml-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/lgl-lexer.c -o vendor/io/lgl-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/lgl-parser.c -o vendor/io/lgl-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/ncol-lexer.c -o vendor/io/ncol-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/ncol-parser.c -o vendor/io/ncol-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/pajek-lexer.c -o vendor/io/pajek-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/pajek-parser.c -o vendor/io/pajek-parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Color.cpp -o vendor/simpleraytracer/Color.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Light.cpp -o vendor/simpleraytracer/Light.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Point.cpp -o vendor/simpleraytracer/Point.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Ray.cpp -o vendor/simpleraytracer/Ray.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/RayTracer.cpp -o vendor/simpleraytracer/RayTracer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/RayVector.cpp -o vendor/simpleraytracer/RayVector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Shape.cpp -o vendor/simpleraytracer/Shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Sphere.cpp -o vendor/simpleraytracer/Sphere.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Triangle.cpp -o vendor/simpleraytracer/Triangle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/unit_limiter.cpp -o vendor/simpleraytracer/unit_limiter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/clear.c -o vendor/uuid/clear.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/compare.c -o vendor/uuid/compare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/copy.c -o vendor/uuid/copy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/gen_uuid.c -o vendor/uuid/gen_uuid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/isnull.c -o vendor/uuid/isnull.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/pack.c -o vendor/uuid/pack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/parse.c -o vendor/uuid/parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/unpack.c -o vendor/uuid/unpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/unparse.c -o vendor/uuid/unparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rinterface.c -o rinterface.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rinterface_extra.c -o rinterface_extra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rrandom.c -o rrandom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uuid.c -o uuid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpprinterface.cpp -o cpprinterface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c simpleraytracer.cpp -o simpleraytracer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/mini-gmp/mini-gmp.c -o vendor/cigraph/vendor/mini-gmp/mini-gmp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o igraph.so vendor/arpack/dgetv0.o vendor/arpack/dlaqrb.o vendor/arpack/dmout.o vendor/arpack/dnaitr.o vendor/arpack/dnapps.o vendor/arpack/dnaup2.o vendor/arpack/dnaupd.o vendor/arpack/dnconv.o vendor/arpack/dneigh.o vendor/arpack/dneupd.o vendor/arpack/dngets.o vendor/arpack/dsaitr.o vendor/arpack/dsapps.o vendor/arpack/dsaup2.o vendor/arpack/dsaupd.o vendor/arpack/dsconv.o vendor/arpack/dseigt.o vendor/arpack/dsesrt.o vendor/arpack/dseupd.o vendor/arpack/dsgets.o vendor/arpack/dsortc.o vendor/arpack/dsortr.o vendor/arpack/dstatn.o vendor/arpack/dstats.o vendor/arpack/dstqrb.o vendor/arpack/dvout.o vendor/arpack/ivout.o vendor/arpack/second.o vendor/arpack/wrap.o vendor/cigraph/src/centrality/betweenness.o vendor/cigraph/src/centrality/centrality_other.o vendor/cigraph/src/centrality/centralization.o vendor/cigraph/src/centrality/closeness.o vendor/cigraph/src/centrality/coreness.o vendor/cigraph/src/centrality/eigenvector.o vendor/cigraph/src/centrality/hub_authority.o vendor/cigraph/src/centrality/pagerank.o vendor/cigraph/src/centrality/prpack.o vendor/cigraph/src/centrality/prpack/prpack_base_graph.o vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.o vendor/cigraph/src/centrality/prpack/prpack_result.o vendor/cigraph/src/centrality/prpack/prpack_solver.o vendor/cigraph/src/centrality/prpack/prpack_utils.o vendor/cigraph/src/centrality/truss.o vendor/cigraph/src/cliques/cliquer/cliquer.o vendor/cigraph/src/cliques/cliquer/cliquer_graph.o vendor/cigraph/src/cliques/cliquer/reorder.o vendor/cigraph/src/cliques/cliquer_wrapper.o vendor/cigraph/src/cliques/cliques.o vendor/cigraph/src/cliques/glet.o vendor/cigraph/src/cliques/maximal_cliques.o vendor/cigraph/src/community/community_misc.o vendor/cigraph/src/community/edge_betweenness.o vendor/cigraph/src/community/fast_modularity.o vendor/cigraph/src/community/fluid.o vendor/cigraph/src/community/infomap/infomap.o vendor/cigraph/src/community/infomap/infomap_FlowGraph.o vendor/cigraph/src/community/infomap/infomap_Greedy.o vendor/cigraph/src/community/label_propagation.o vendor/cigraph/src/community/leading_eigenvector.o vendor/cigraph/src/community/leiden.o vendor/cigraph/src/community/louvain.o vendor/cigraph/src/community/modularity.o vendor/cigraph/src/community/optimal_modularity.o vendor/cigraph/src/community/spinglass/NetDataTypes.o vendor/cigraph/src/community/spinglass/NetRoutines.o vendor/cigraph/src/community/spinglass/clustertool.o vendor/cigraph/src/community/spinglass/pottsmodel_2.o vendor/cigraph/src/community/voronoi.o vendor/cigraph/src/community/walktrap/walktrap.o vendor/cigraph/src/community/walktrap/walktrap_communities.o vendor/cigraph/src/community/walktrap/walktrap_graph.o vendor/cigraph/src/community/walktrap/walktrap_heap.o vendor/cigraph/src/connectivity/cohesive_blocks.o vendor/cigraph/src/connectivity/components.o vendor/cigraph/src/connectivity/percolation.o vendor/cigraph/src/connectivity/reachability.o vendor/cigraph/src/connectivity/separators.o vendor/cigraph/src/constructors/adjacency.o vendor/cigraph/src/constructors/atlas.o vendor/cigraph/src/constructors/basic_constructors.o vendor/cigraph/src/constructors/circulant.o vendor/cigraph/src/constructors/de_bruijn.o vendor/cigraph/src/constructors/famous.o vendor/cigraph/src/constructors/full.o vendor/cigraph/src/constructors/generalized_petersen.o vendor/cigraph/src/constructors/kautz.o vendor/cigraph/src/constructors/lattices.o vendor/cigraph/src/constructors/lcf.o vendor/cigraph/src/constructors/linegraph.o vendor/cigraph/src/constructors/mycielskian.o vendor/cigraph/src/constructors/prufer.o vendor/cigraph/src/constructors/regular.o vendor/cigraph/src/constructors/trees.o vendor/cigraph/src/core/array.o vendor/cigraph/src/core/bitset.o vendor/cigraph/src/core/bitset_list.o vendor/cigraph/src/core/buckets.o vendor/cigraph/src/core/cutheap.o vendor/cigraph/src/core/dqueue.o vendor/cigraph/src/core/error.o vendor/cigraph/src/core/estack.o vendor/cigraph/src/core/fixed_vectorlist.o vendor/cigraph/src/core/genheap.o vendor/cigraph/src/core/grid.o vendor/cigraph/src/core/heap.o vendor/cigraph/src/core/indheap.o vendor/cigraph/src/core/interruption.o vendor/cigraph/src/core/marked_queue.o vendor/cigraph/src/core/matrix.o vendor/cigraph/src/core/matrix_list.o vendor/cigraph/src/core/memory.o vendor/cigraph/src/core/printing.o vendor/cigraph/src/core/progress.o vendor/cigraph/src/core/psumtree.o vendor/cigraph/src/core/set.o vendor/cigraph/src/core/sparsemat.o vendor/cigraph/src/core/stack.o vendor/cigraph/src/core/statusbar.o vendor/cigraph/src/core/strvector.o vendor/cigraph/src/core/trie.o vendor/cigraph/src/core/vector.o vendor/cigraph/src/core/vector_list.o vendor/cigraph/src/core/vector_ptr.o vendor/cigraph/src/cycles/simple_cycles.o vendor/cigraph/src/flow/flow.o vendor/cigraph/src/flow/flow_conversion.o vendor/cigraph/src/flow/st-cuts.o vendor/cigraph/src/games/barabasi.o vendor/cigraph/src/games/callaway_traits.o vendor/cigraph/src/games/chung_lu.o vendor/cigraph/src/games/citations.o vendor/cigraph/src/games/correlated.o vendor/cigraph/src/games/degree_sequence.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.o vendor/cigraph/src/games/dotproduct.o vendor/cigraph/src/games/erdos_renyi.o vendor/cigraph/src/games/establishment.o vendor/cigraph/src/games/forestfire.o vendor/cigraph/src/games/grg.o vendor/cigraph/src/games/growing_random.o vendor/cigraph/src/games/islands.o vendor/cigraph/src/games/k_regular.o vendor/cigraph/src/games/preference.o vendor/cigraph/src/games/recent_degree.o vendor/cigraph/src/games/sbm.o vendor/cigraph/src/games/static_fitness.o vendor/cigraph/src/games/tree.o vendor/cigraph/src/games/watts_strogatz.o vendor/cigraph/src/graph/adjlist.o vendor/cigraph/src/graph/attributes.o vendor/cigraph/src/graph/basic_query.o vendor/cigraph/src/graph/caching.o vendor/cigraph/src/graph/cattributes.o vendor/cigraph/src/graph/graph_list.o vendor/cigraph/src/graph/iterators.o vendor/cigraph/src/graph/type_common.o vendor/cigraph/src/graph/type_indexededgelist.o vendor/cigraph/src/graph/visitors.o vendor/cigraph/src/hrg/hrg.o vendor/cigraph/src/hrg/hrg_types.o vendor/cigraph/src/internal/glpk_support.o vendor/cigraph/src/internal/hacks.o vendor/cigraph/src/internal/lsap.o vendor/cigraph/src/internal/qsort.o vendor/cigraph/src/internal/qsort_r.o vendor/cigraph/src/internal/utils.o vendor/cigraph/src/internal/zeroin.o vendor/cigraph/src/io/dimacs.o vendor/cigraph/src/io/dl.o vendor/cigraph/src/io/dot.o vendor/cigraph/src/io/edgelist.o vendor/cigraph/src/io/gml-tree.o vendor/cigraph/src/io/gml.o vendor/cigraph/src/io/graphdb.o vendor/cigraph/src/io/graphml.o vendor/cigraph/src/io/leda.o vendor/cigraph/src/io/lgl.o vendor/cigraph/src/io/ncol.o vendor/cigraph/src/io/pajek.o vendor/cigraph/src/io/parse_utils.o vendor/cigraph/src/isomorphism/bliss.o vendor/cigraph/src/isomorphism/bliss/defs.o vendor/cigraph/src/isomorphism/bliss/graph.o vendor/cigraph/src/isomorphism/bliss/heap.o vendor/cigraph/src/isomorphism/bliss/orbit.o vendor/cigraph/src/isomorphism/bliss/partition.o vendor/cigraph/src/isomorphism/bliss/uintseqhash.o vendor/cigraph/src/isomorphism/bliss/utils.o vendor/cigraph/src/isomorphism/isoclasses.o vendor/cigraph/src/isomorphism/isomorphism_misc.o vendor/cigraph/src/isomorphism/lad.o vendor/cigraph/src/isomorphism/queries.o vendor/cigraph/src/isomorphism/vf2.o vendor/cigraph/src/layout/align.o vendor/cigraph/src/layout/circular.o vendor/cigraph/src/layout/davidson_harel.o vendor/cigraph/src/layout/drl/DensityGrid.o vendor/cigraph/src/layout/drl/DensityGrid_3d.o vendor/cigraph/src/layout/drl/drl_graph.o vendor/cigraph/src/layout/drl/drl_graph_3d.o vendor/cigraph/src/layout/drl/drl_layout.o vendor/cigraph/src/layout/drl/drl_layout_3d.o vendor/cigraph/src/layout/drl/drl_parse.o vendor/cigraph/src/layout/fruchterman_reingold.o vendor/cigraph/src/layout/gem.o vendor/cigraph/src/layout/graphopt.o vendor/cigraph/src/layout/kamada_kawai.o vendor/cigraph/src/layout/large_graph.o vendor/cigraph/src/layout/layout_bipartite.o vendor/cigraph/src/layout/layout_grid.o vendor/cigraph/src/layout/layout_random.o vendor/cigraph/src/layout/mds.o vendor/cigraph/src/layout/merge_dla.o vendor/cigraph/src/layout/merge_grid.o vendor/cigraph/src/layout/reingold_tilford.o vendor/cigraph/src/layout/sugiyama.o vendor/cigraph/src/layout/umap.o vendor/cigraph/src/linalg/arpack.o vendor/cigraph/src/linalg/blas.o vendor/cigraph/src/linalg/eigen.o vendor/cigraph/src/linalg/lapack.o vendor/cigraph/src/math/complex.o vendor/cigraph/src/math/safe_intop.o vendor/cigraph/src/math/utils.o vendor/cigraph/src/misc/bipartite.o vendor/cigraph/src/misc/chordality.o vendor/cigraph/src/misc/cocitation.o vendor/cigraph/src/misc/coloring.o vendor/cigraph/src/misc/conversion.o vendor/cigraph/src/misc/cycle_bases.o vendor/cigraph/src/misc/degree_sequence.o vendor/cigraph/src/misc/embedding.o vendor/cigraph/src/misc/feedback_arc_set.o vendor/cigraph/src/misc/graphicality.o vendor/cigraph/src/misc/matching.o vendor/cigraph/src/misc/microscopic_update.o vendor/cigraph/src/misc/mixing.o vendor/cigraph/src/misc/motifs.o vendor/cigraph/src/misc/order_cycle.o vendor/cigraph/src/misc/other.o vendor/cigraph/src/misc/power_law_fit.o vendor/cigraph/src/misc/scan.o vendor/cigraph/src/misc/sir.o vendor/cigraph/src/misc/spanning_trees.o vendor/cigraph/src/operators/add_edge.o vendor/cigraph/src/operators/complementer.o vendor/cigraph/src/operators/compose.o vendor/cigraph/src/operators/connect_neighborhood.o vendor/cigraph/src/operators/contract.o vendor/cigraph/src/operators/difference.o vendor/cigraph/src/operators/disjoint_union.o vendor/cigraph/src/operators/intersection.o vendor/cigraph/src/operators/join.o vendor/cigraph/src/operators/misc_internal.o vendor/cigraph/src/operators/permute.o vendor/cigraph/src/operators/products.o vendor/cigraph/src/operators/reverse.o vendor/cigraph/src/operators/rewire.o vendor/cigraph/src/operators/rewire_edges.o vendor/cigraph/src/operators/simplify.o vendor/cigraph/src/operators/subgraph.o vendor/cigraph/src/operators/union.o vendor/cigraph/src/paths/all_shortest_paths.o vendor/cigraph/src/paths/astar.o vendor/cigraph/src/paths/bellman_ford.o vendor/cigraph/src/paths/dijkstra.o vendor/cigraph/src/paths/distances.o vendor/cigraph/src/paths/eulerian.o vendor/cigraph/src/paths/floyd_warshall.o vendor/cigraph/src/paths/histogram.o vendor/cigraph/src/paths/johnson.o vendor/cigraph/src/paths/random_walk.o vendor/cigraph/src/paths/shortest_paths.o vendor/cigraph/src/paths/simple_paths.o vendor/cigraph/src/paths/sparsifier.o vendor/cigraph/src/paths/unweighted.o vendor/cigraph/src/paths/voronoi.o vendor/cigraph/src/paths/widest_paths.o vendor/cigraph/src/properties/basic_properties.o vendor/cigraph/src/properties/complete.o vendor/cigraph/src/properties/constraint.o vendor/cigraph/src/properties/convergence_degree.o vendor/cigraph/src/properties/dag.o vendor/cigraph/src/properties/degrees.o vendor/cigraph/src/properties/ecc.o vendor/cigraph/src/properties/girth.o vendor/cigraph/src/properties/loops.o vendor/cigraph/src/properties/multiplicity.o vendor/cigraph/src/properties/neighborhood.o vendor/cigraph/src/properties/perfect.o vendor/cigraph/src/properties/rich_club.o vendor/cigraph/src/properties/spectral.o vendor/cigraph/src/properties/trees.o vendor/cigraph/src/properties/triangles.o vendor/cigraph/src/random/random.o vendor/cigraph/src/random/rng_glibc2.o vendor/cigraph/src/random/rng_mt19937.o vendor/cigraph/src/random/rng_pcg32.o vendor/cigraph/src/random/rng_pcg64.o vendor/cigraph/src/version.o vendor/cigraph/vendor/cs/cs_add.o vendor/cigraph/vendor/cs/cs_amd.o vendor/cigraph/vendor/cs/cs_chol.o vendor/cigraph/vendor/cs/cs_cholsol.o vendor/cigraph/vendor/cs/cs_compress.o vendor/cigraph/vendor/cs/cs_counts.o vendor/cigraph/vendor/cs/cs_cumsum.o vendor/cigraph/vendor/cs/cs_dfs.o vendor/cigraph/vendor/cs/cs_dmperm.o vendor/cigraph/vendor/cs/cs_droptol.o vendor/cigraph/vendor/cs/cs_dropzeros.o vendor/cigraph/vendor/cs/cs_dupl.o vendor/cigraph/vendor/cs/cs_entry.o vendor/cigraph/vendor/cs/cs_ereach.o vendor/cigraph/vendor/cs/cs_etree.o vendor/cigraph/vendor/cs/cs_fkeep.o vendor/cigraph/vendor/cs/cs_gaxpy.o vendor/cigraph/vendor/cs/cs_happly.o vendor/cigraph/vendor/cs/cs_house.o vendor/cigraph/vendor/cs/cs_ipvec.o vendor/cigraph/vendor/cs/cs_leaf.o vendor/cigraph/vendor/cs/cs_load.o vendor/cigraph/vendor/cs/cs_lsolve.o vendor/cigraph/vendor/cs/cs_ltsolve.o vendor/cigraph/vendor/cs/cs_lu.o vendor/cigraph/vendor/cs/cs_lusol.o vendor/cigraph/vendor/cs/cs_malloc.o vendor/cigraph/vendor/cs/cs_maxtrans.o vendor/cigraph/vendor/cs/cs_multiply.o vendor/cigraph/vendor/cs/cs_norm.o vendor/cigraph/vendor/cs/cs_permute.o vendor/cigraph/vendor/cs/cs_pinv.o vendor/cigraph/vendor/cs/cs_post.o vendor/cigraph/vendor/cs/cs_print.o vendor/cigraph/vendor/cs/cs_pvec.o vendor/cigraph/vendor/cs/cs_qr.o vendor/cigraph/vendor/cs/cs_qrsol.o vendor/cigraph/vendor/cs/cs_randperm.o vendor/cigraph/vendor/cs/cs_reach.o vendor/cigraph/vendor/cs/cs_scatter.o vendor/cigraph/vendor/cs/cs_scc.o vendor/cigraph/vendor/cs/cs_schol.o vendor/cigraph/vendor/cs/cs_spsolve.o vendor/cigraph/vendor/cs/cs_sqr.o vendor/cigraph/vendor/cs/cs_symperm.o vendor/cigraph/vendor/cs/cs_tdfs.o vendor/cigraph/vendor/cs/cs_transpose.o vendor/cigraph/vendor/cs/cs_updown.o vendor/cigraph/vendor/cs/cs_usolve.o vendor/cigraph/vendor/cs/cs_util.o vendor/cigraph/vendor/cs/cs_utsolve.o vendor/cigraph/vendor/pcg/pcg-advance-128.o vendor/cigraph/vendor/pcg/pcg-advance-64.o vendor/cigraph/vendor/pcg/pcg-output-128.o vendor/cigraph/vendor/pcg/pcg-output-32.o vendor/cigraph/vendor/pcg/pcg-output-64.o vendor/cigraph/vendor/pcg/pcg-rngs-128.o vendor/cigraph/vendor/pcg/pcg-rngs-64.o vendor/cigraph/vendor/plfit/gss.o vendor/cigraph/vendor/plfit/hzeta.o vendor/cigraph/vendor/plfit/kolmogorov.o vendor/cigraph/vendor/plfit/lbfgs.o vendor/cigraph/vendor/plfit/mt.o vendor/cigraph/vendor/plfit/options.o vendor/cigraph/vendor/plfit/plfit.o vendor/cigraph/vendor/plfit/plfit_error.o vendor/cigraph/vendor/plfit/rbinom.o vendor/cigraph/vendor/plfit/sampling.o vendor/io/dl-lexer.o vendor/io/dl-parser.o vendor/io/gml-lexer.o vendor/io/gml-parser.o vendor/io/lgl-lexer.o vendor/io/lgl-parser.o vendor/io/ncol-lexer.o vendor/io/ncol-parser.o vendor/io/pajek-lexer.o vendor/io/pajek-parser.o vendor/simpleraytracer/Color.o vendor/simpleraytracer/Light.o vendor/simpleraytracer/Point.o vendor/simpleraytracer/Ray.o vendor/simpleraytracer/RayTracer.o vendor/simpleraytracer/RayVector.o vendor/simpleraytracer/Shape.o vendor/simpleraytracer/Sphere.o vendor/simpleraytracer/Triangle.o vendor/simpleraytracer/unit_limiter.o vendor/uuid/clear.o vendor/uuid/compare.o vendor/uuid/copy.o vendor/uuid/gen_uuid.o vendor/uuid/isnull.o vendor/uuid/pack.o vendor/uuid/parse.o vendor/uuid/unpack.o vendor/uuid/unparse.o rinterface.o rinterface_extra.o rrandom.o uuid.o cpp11.o cpprinterface.o init.o simpleraytracer.o vendor/cigraph/vendor/mini-gmp/mini-gmp.o -L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl -lglpk -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-igraph/00new/igraph/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (igraph) * installing *source* package 'httpuv' ... ** this is package 'httpuv' version '1.6.16' ** package 'httpuv' successfully unpacked and MD5 sums checked ** using staged installation ** Using bundled copy of libuv ** PKG_CFLAGS=-Ilibuv/include ** PKG_LIBS=./libuv/.libs/libuv.b ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callback.cpp -o callback.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callbackqueue.cpp -o callbackqueue.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c filedatasource-unix.cpp -o filedatasource-unix.o In file included from filedatasource-unix.cpp:4: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c filedatasource-win.cpp -o filedatasource-win.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fs.cpp -o fs.o In file included from fs.cpp:2: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gzipdatasource.cpp -o gzipdatasource.o In file included from gzipdatasource.cpp:2: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c http.cpp -o http.o In file included from websockets.h:11, from webapplication.h:7, from http.h:7, from http.cpp:1: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c httprequest.cpp -o httprequest.o In file included from websockets.h:11, from webapplication.h:7, from http.h:7, from socket.h:4, from httprequest.h:11, from httprequest.cpp:3: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c httpresponse.cpp -o httpresponse.o In file included from httpresponse.h:7, from httpresponse.cpp:1: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c httpuv.cpp -o httpuv.o In file included from websockets.h:11, from webapplication.h:7, from httpuv.cpp:13: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mime.cpp -o mime.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c socket.cpp -o socket.o In file included from websockets.h:11, from webapplication.h:7, from http.h:7, from socket.h:4, from socket.cpp:1: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c staticpath.cpp -o staticpath.o In file included from staticpath.cpp:3: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.cpp -o thread.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timegm.cpp -o timegm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o In file included from utils.cpp:1: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uvutil.cpp -o uvutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c webapplication.cpp -o webapplication.o In file included from websockets.h:11, from webapplication.h:7, from webapplication.cpp:5: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-base.cpp -o websockets-base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-hixie76.cpp -o websockets-hixie76.o In file included from websockets.h:11, from websockets-hixie76.h:4, from websockets-hixie76.cpp:1: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-hybi03.cpp -o websockets-hybi03.o In file included from websockets-hybi03.cpp:10: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-ietf.cpp -o websockets-ietf.o In file included from websockets-ietf.cpp:3: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets.cpp -o websockets.o In file included from websockets.h:11, from websockets.cpp:1: utils.h: In function 'bool constant_time_compare(const std::string&, const std::string&)': utils.h:281:12: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 281 | result |= ac[i] ^ bc[i]; | ~~~~~~~^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winutils.cpp -o winutils.o cp -p -f libuv/m4/lt_obsolete.m4 libuv/m4/lt~obsolete.m4 ignoring -p /usr/bin/cp -f libuv/m4/lt_obsolete.m4 libuv/m4/lt~obsolete.m4 cd libuv; \ if ! command -v automake >/dev/null 2>&1 ; then \ echo "automake not found. Touching files so configure will not try to run automake."; \ touch aclocal.m4; \ touch -r aclocal.m4 configure Makefile.in; \ else \ echo "automake found. Running autoupdate and autogen.sh."; \ autoupdate; \ sh autogen.sh; \ fi; \ chmod +x configure; \ CC="/packages/gcc/12.2.0-nnbserq/bin/gcc" CFLAGS="-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -fvisibility=hidden -DNDEBUG" CPPFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include" AR="ar" RANLIB="ranlib" LDFLAGS="-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64" ./configure "--quiet" automake not found. Touching files so configure will not try to run automake. /usr/bin/cp .//depcomp conftest.dir make --directory=libuv \ HAVE_DTRACE=0 make[1]: Entering directory '/tmp/th798/27261227/RtmpgwG1pK/R.INSTALL2ad37f19e89716/httpuv/src/libuv' CC src/libuv_la-fs-poll.lo CC src/libuv_la-idna.lo CC src/libuv_la-inet.lo CC src/libuv_la-random.lo CC src/libuv_la-strscpy.lo CC src/libuv_la-threadpool.lo CC src/libuv_la-timer.lo CC src/libuv_la-uv-data-getter-setters.lo CC src/libuv_la-uv-common.lo CC src/libuv_la-version.lo CC src/unix/libuv_la-async.lo CC src/unix/libuv_la-core.lo CC src/unix/libuv_la-dl.lo CC src/unix/libuv_la-fs.lo CC src/unix/libuv_la-getaddrinfo.lo CC src/unix/libuv_la-getnameinfo.lo CC src/unix/libuv_la-loop-watcher.lo CC src/unix/libuv_la-loop.lo CC src/unix/libuv_la-pipe.lo CC src/unix/libuv_la-poll.lo CC src/unix/libuv_la-process.lo CC src/unix/libuv_la-random-devurandom.lo CC src/unix/libuv_la-signal.lo CC src/unix/libuv_la-stream.lo CC src/unix/libuv_la-tcp.lo CC src/unix/libuv_la-thread.lo CC src/unix/libuv_la-tty.lo CC src/unix/libuv_la-udp.lo CC src/unix/libuv_la-linux-core.lo CC src/unix/libuv_la-linux-inotify.lo CC src/unix/libuv_la-linux-syscalls.lo CC src/unix/libuv_la-procfs-exepath.lo CC src/unix/libuv_la-proctitle.lo CC src/unix/libuv_la-random-getrandom.lo CC src/unix/libuv_la-random-sysctl-linux.lo CC src/unix/libuv_la-epoll.lo CCLD libuv.la make[1]: Leaving directory '/tmp/th798/27261227/RtmpgwG1pK/R.INSTALL2ad37f19e89716/httpuv/src/libuv' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c http-parser/http_parser.c -o http-parser/http_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1/sha1.c -o sha1/sha1.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-devel/841/library/later/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64/base64.cpp -o base64/base64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o httpuv.so RcppExports.o callback.o callbackqueue.o filedatasource-unix.o filedatasource-win.o fs.o gzipdatasource.o http.o httprequest.o httpresponse.o httpuv.o md5.o mime.o socket.o staticpath.o thread.o timegm.o utils.o uvutil.o webapplication.o websockets-base.o websockets-hixie76.o websockets-hybi03.o websockets-ietf.o websockets.o winutils.o ./libuv/.libs/libuv.b ./http-parser/http_parser.o ./sha1/sha1.o ./base64/base64.o -pthread installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-httpuv/00new/httpuv/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httpuv) * installing *source* package 'mlr3measures' ... ** this is package 'mlr3measures' version '1.2.0' ** package 'mlr3measures' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3measures) * installing *source* package 'clock' ... ** this is package 'clock' version '0.7.4' ** package 'clock' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c duration.cpp -o duration.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c enums.cpp -o enums.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c format.cpp -o format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gregorian-year-day.cpp -o gregorian-year-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gregorian-year-month-day.cpp -o gregorian-year-month-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gregorian-year-month-weekday.cpp -o gregorian-year-month-weekday.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso-year-week-day.cpp -o iso-year-week-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c limits.cpp -o limits.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c naive-time.cpp -o naive-time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quarterly-year-quarter-day.cpp -o quarterly-year-quarter-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rcrd.cpp -o rcrd.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sys-time.cpp -o sys-time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c time-point.cpp -o time-point.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c week-year-week-day.cpp -o week-year-week-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weekday.cpp -o weekday.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zone.cpp -o zone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zoned-time.cpp -o zoned-time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o clock.so cpp11.o duration.o enums.o format.o gregorian-year-day.o gregorian-year-month-day.o gregorian-year-month-weekday.o iso-year-week-day.o limits.o naive-time.o quarterly-year-quarter-day.o rcrd.o sys-time.o time-point.o utils.o week-year-week-day.o weekday.o zone.o zoned-time.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-clock/00new/clock/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clock) * installing *source* package 'blob' ... ** this is package 'blob' version '1.3.0' ** package 'blob' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blob) * installing *source* package 'ids' ... ** this is package 'ids' version '1.0.1' ** package 'ids' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ids) * installing *source* package 'tidyselect' ... ** this is package 'tidyselect' version '1.2.1' ** package 'tidyselect' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyselect) * installing *source* package 'pillar' ... ** this is package 'pillar' version '1.11.1' ** package 'pillar' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pillar) * installing *source* package 'stringr' ... ** this is package 'stringr' version '1.6.0' ** package 'stringr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stringr) * installing *source* package 'gridExtra' ... ** this is package 'gridExtra' version '2.3' ** package 'gridExtra' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gridExtra) * installing *source* package 'httr' ... ** this is package 'httr' version '1.4.8' ** package 'httr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httr) * installing *source* package 'scoringRules' ... ** this is package 'scoringRules' version '1.1.3' ** package 'scoringRules' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mixn.cpp -o mixn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c procs_casestudy.cpp -o procs_casestudy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c procs_es.cpp -o procs_es.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o scoringRules.so RcppExports.o mixn.o procs_casestudy.o procs_es.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-scoringRules/00new/scoringRules/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scoringRules) * installing *source* package 'hms' ... ** this is package 'hms' version '1.1.4' ** package 'hms' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hms) * installing *source* package 'paradox' ... ** this is package 'paradox' version '1.0.1' ** package 'paradox' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paradox) * installing *source* package 'performance' ... ** this is package 'performance' version '0.16.0' ** package 'performance' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (performance) * installing *source* package 'tables' ... ** this is package 'tables' version '0.9.33' ** package 'tables' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tables) * installing *source* package 'sparsevctrs' ... ** this is package 'sparsevctrs' version '0.3.6' ** package 'sparsevctrs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-double.c -o altrep-sparse-double.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-integer.c -o altrep-sparse-integer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-logical.c -o altrep-sparse-logical.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-string.c -o altrep-sparse-string.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-arithmatic.c -o sparse-arithmatic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-dummy.c -o sparse-dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-extractors.c -o sparse-extractors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-utils.c -o sparse-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sparsevctrs.so altrep-sparse-double.o altrep-sparse-integer.o altrep-sparse-logical.o altrep-sparse-string.o init.o sparse-arithmatic.o sparse-dummy.o sparse-extractors.o sparse-utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-sparsevctrs/00new/sparsevctrs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sparsevctrs) * installing *source* package 'bslib' ... ** this is package 'bslib' version '0.10.0' ** package 'bslib' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bslib) * installing *source* package 'downlit' ... ** this is package 'downlit' version '0.4.5' ** package 'downlit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (downlit) * installing *source* package 'httr2' ... ** this is package 'httr2' version '1.2.2' ** package 'httr2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httr2) * installing *source* package 'pkgbuild' ... ** this is package 'pkgbuild' version '1.4.8' ** package 'pkgbuild' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgbuild) * installing *source* package 'slider' ... ** this is package 'slider' version '0.3.3' ** package 'slider' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c block.c -o block.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hop.c -o hop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c index.c -o index.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c params.c -o params.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c segment-tree.c -o segment-tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slide-period.c -o slide-period.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slide.c -o slide.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slider-vctrs-private.c -o slider-vctrs-private.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slider-vctrs-public.c -o slider-vctrs-public.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary-core-align.cpp -o summary-core-align.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary-index.c -o summary-index.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary-slide.c -o summary-slide.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o slider.so block.o hop.o index.o init.o params.o segment-tree.o slide-period.o slide.o slider-vctrs-private.o slider-vctrs-public.o summary-core-align.o summary-index.o summary-slide.o utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-slider/00new/slider/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (slider) * installing *source* package 'textshaping' ... ** this is package 'textshaping' version '1.0.5' ** package 'textshaping' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib64 -lharfbuzz -lfreetype -lfribidi ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' rm -f textshaping.so cpp11.o face_feature.o hb_shaper.o init.o string_bidi.o string_metrics.o string_shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c face_feature.cpp -o face_feature.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hb_shaper.cpp -o hb_shaper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_bidi.cpp -o string_bidi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_metrics.cpp -o string_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_shape.cpp -o string_shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o textshaping.so cpp11.o face_feature.o hb_shaper.o init.o string_bidi.o string_metrics.o string_shape.o -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib64 -lharfbuzz -lfreetype -lfribidi installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-textshaping/00new/textshaping/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (textshaping) * installing *source* package 'conflicted' ... ** this is package 'conflicted' version '1.2.0' ** package 'conflicted' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (conflicted) * installing *source* package 'DirichletReg' ... ** this is package 'DirichletReg' version '0.7-2' ** package 'DirichletReg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ddirichlet.c -o ddirichlet.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rdirichlet.c -o rdirichlet.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wght_LL.c -o wght_LL.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wght_LL_grad_alternative.c -o wght_LL_grad_alternative.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wght_LL_grad_common.c -o wght_LL_grad_common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DirichletReg.so ddirichlet.o init.o rdirichlet.o wght_LL.o wght_LL_grad_alternative.o wght_LL_grad_common.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-DirichletReg/00new/DirichletReg/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DirichletReg) * installing *source* package 'fixest' ... ** this is package 'fixest' version '0.13.2' ** package 'fixest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collineairy.cpp -o collineairy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c convergence.cpp -o convergence.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c demeaning.cpp -o demeaning.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dsb.cpp -o dsb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fixest_main.cpp -o fixest_main.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c index_fixed_effects.cpp -o index_fixed_effects.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lm_related.cpp -o lm_related.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc_funs.cpp -o misc_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parallel_funs.cpp -o parallel_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_funs.cpp -o string_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_index.cpp -o to_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vcov_related.cpp -o vcov_related.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fixest.so RcppExports.o collineairy.o convergence.o demeaning.o dsb.o fixest_main.o index_fixed_effects.o lm_related.o misc_funs.o parallel_funs.o string_funs.o to_index.o vcov_related.o -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-fixest/00new/fixest/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fixest) * installing *source* package 'fwb' ... ** this is package 'fwb' version '0.5.1' ** package 'fwb' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fwb) * installing *source* package 'ggplot2' ... ** this is package 'ggplot2' version '4.0.2' ** package 'ggplot2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggplot2) * installing *source* package 'lme4' ... ** this is package 'lme4' version '2.0-1' ** package 'lme4' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c external.cpp -o external.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glmFamily.cpp -o glmFamily.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optimizer.cpp -o optimizer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predModule.cpp -o predModule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c respModule.cpp -o respModule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lme4.so external.o glmFamily.o optimizer.o predModule.o respModule.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-lme4/00new/lme4/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lme4) * installing *source* package 'MatchIt' ... ** this is package 'MatchIt' version '4.7.2' ** package 'MatchIt' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c all_equal_to.cpp -o all_equal_to.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c eucdistC.cpp -o eucdistC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get_splitsC.cpp -o get_splitsC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c has_n_unique.cpp -o has_n_unique.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.cpp -o internal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_distmat.cpp -o nn_matchC_distmat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_distmat_closest.cpp -o nn_matchC_distmat_closest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_mahcovs.cpp -o nn_matchC_mahcovs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_mahcovs_closest.cpp -o nn_matchC_mahcovs_closest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_vec.cpp -o nn_matchC_vec.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_vec_closest.cpp -o nn_matchC_vec_closest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pairdistC.cpp -o pairdistC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c preprocess_matchC.cpp -o preprocess_matchC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subclass2mm.cpp -o subclass2mm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subclass_scootC.cpp -o subclass_scootC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tabulateC.cpp -o tabulateC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weights_matrixC.cpp -o weights_matrixC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o MatchIt.so RcppExports.o all_equal_to.o eucdistC.o get_splitsC.o has_n_unique.o internal.o nn_matchC_distmat.o nn_matchC_distmat_closest.o nn_matchC_mahcovs.o nn_matchC_mahcovs_closest.o nn_matchC_vec.o nn_matchC_vec_closest.o pairdistC.o preprocess_matchC.o subclass2mm.o subclass_scootC.o tabulateC.o weights_matrixC.o -fopenmp -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-MatchIt/00new/MatchIt/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MatchIt) * installing *source* package 'missRanger' ... ** this is package 'missRanger' version '2.6.1' ** package 'missRanger' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (missRanger) * installing *source* package 'mlogit' ... ** this is package 'mlogit' version '1.1-3' ** package 'mlogit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlogit) * installing *source* package 'parameters' ... ** this is package 'parameters' version '0.28.3' ** package 'parameters' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parameters) * installing *source* package 'partykit' ... ** this is package 'partykit' version '1.2-26' ** package 'partykit' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c partykit-init.c -o partykit-init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rfweights.c -o rfweights.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o partykit.so partykit-init.o rfweights.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-partykit/00new/partykit/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (partykit) * installing *source* package 'phylolm' ... ** this is package 'phylolm' version '2.6.5' ** package 'phylolm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logistreglikelihood.c -o logistreglikelihood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c registerDynamicSymbol.c -o registerDynamicSymbol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c threepoint.c -o threepoint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transbranchlengths.c -o transbranchlengths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o phylolm.so logistreglikelihood.o registerDynamicSymbol.o threepoint.o transbranchlengths.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-phylolm/00new/phylolm/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phylolm) * installing *source* package 'plm' ... ** this is package 'plm' version '2.6-7' ** package 'plm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plm) * installing *source* package 'purrr' ... ** this is package 'purrr' version '1.2.1' ** package 'purrr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c backports.c -o backports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coerce.c -o coerce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c conditions.c -o conditions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c every-some-none.c -o every-some-none.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flatten.c -o flatten.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c map.c -o map.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pluck.c -o pluck.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o purrr.so backports.o cleancall.o coerce.o conditions.o every-some-none.o flatten.o init.o map.o pluck.o transpose.o utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-purrr/00new/purrr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (purrr) * installing *source* package 'robust' ... ** this is package 'robust' version '0.7-5' ** package 'robust' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compatibility.c -o compatibility.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c gamrob.f -o gamrob.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c glmrob.f -o glmrob.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobbi.f -o lmrobbi.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobfs.f -o lmrobfs.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobml.f -o lmrobml.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobmm.f -o lmrobmm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mmprnt.c -o mmprnt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rb.c -o rb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tdmean.f -o tdmean.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tmlfor.f -o tmlfor.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c wblrob.f -o wblrob.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o robust.so compatibility.o gamrob.o glmrob.o lmrobbi.o lmrobfs.o lmrobml.o lmrobmm.o mmprnt.o rb.o tdmean.o tmlfor.o wblrob.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-robust/00new/robust/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robust) * installing *source* package 'spelling' ... ** this is package 'spelling' version '2.3.2' ** package 'spelling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spelling) * installing *source* package 'truncreg' ... ** this is package 'truncreg' version '0.2-5' ** package 'truncreg' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (truncreg) * installing *source* package 'forecast' ... ** this is package 'forecast' version '9.0.1' ** package 'forecast' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c calcBATS.cpp -o calcBATS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c calcTBATS.cpp -o calcTBATS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etsTargetFunction.cpp -o etsTargetFunction.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etsTargetFunctionWrapper.cpp -o etsTargetFunctionWrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etscalc.c -o etscalc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etspolyroot.c -o etspolyroot.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c makeBATSMatrices.cpp -o makeBATSMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c makeTBATSMatrices.cpp -o makeTBATSMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updateMatrices.cpp -o updateMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updateTBATSMatrices.cpp -o updateTBATSMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o forecast.so RcppExports.o calcBATS.o calcTBATS.o etsTargetFunction.o etsTargetFunctionWrapper.o etscalc.o etspolyroot.o makeBATSMatrices.o makeTBATSMatrices.o updateMatrices.o updateTBATSMatrices.o -fopenmp -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-forecast/00new/forecast/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (forecast) * installing *source* package 'prodlim' ... ** this is package 'prodlim' version '2025.04.28' ** package 'prodlim' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GMLE.c -o GMLE.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c IntIndex.c -o IntIndex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icens_prodlim.c -o icens_prodlim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icens_prodlim_ml.c -o icens_prodlim_ml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iindex.c -o iindex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c life_table.c -o life_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loo.c -o loo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c neighborhood.c -o neighborhood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predict.c -o predict.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predict_individual_survival.c -o predict_individual_survival.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim.c -o prodlim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_clustersurv.c -o prodlim_clustersurv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_comprisk.c -o prodlim_comprisk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_multistates.c -o prodlim_multistates.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_surv.c -o prodlim_surv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sindex.c -o sindex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary_prodlim.c -o summary_prodlim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o prodlim.so GMLE.o IntIndex.o icens_prodlim.o icens_prodlim_ml.o iindex.o init.o life_table.o loo.o neighborhood.o predict.o predict_individual_survival.o prodlim.o prodlim_clustersurv.o prodlim_comprisk.o prodlim_multistates.o prodlim_surv.o sindex.o summary_prodlim.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-prodlim/00new/prodlim/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prodlim) * installing *source* package 'ggridges' ... ** this is package 'ggridges' version '0.5.7' ** package 'ggridges' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggridges) * installing *source* package 'iBreakDown' ... ** this is package 'iBreakDown' version '2.1.2' ** package 'iBreakDown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iBreakDown) * installing *source* package 'ingredients' ... ** this is package 'ingredients' version '2.3.0' ** package 'ingredients' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ingredients) * installing *source* package 'kernelshap' ... ** this is package 'kernelshap' version '0.9.1' ** package 'kernelshap' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kernelshap) * installing *source* package 'pkgload' ... ** this is package 'pkgload' version '1.5.0' ** package 'pkgload' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgload) * installing *source* package 'viridis' ... ** this is package 'viridis' version '0.6.5' ** package 'viridis' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (viridis) * installing *source* package 'gargle' ... ** this is package 'gargle' version '1.6.1' ** package 'gargle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gargle) * installing *source* package 'progress' ... ** this is package 'progress' version '1.2.3' ** package 'progress' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (progress) * installing *source* package 'selectr' ... ** this is package 'selectr' version '0.5-1' ** package 'selectr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (selectr) * installing *source* package 'reshape2' ... ** this is package 'reshape2' version '1.4.5' ** package 'reshape2' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c melt.cpp -o melt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o reshape2.so RcppExports.o melt.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-reshape2/00new/reshape2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reshape2) * installing *source* package 'bridgesampling' ... ** this is package 'bridgesampling' version '1.2-1' ** package 'bridgesampling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bridgesampling) * installing *source* package 'shiny' ... ** this is package 'shiny' version '1.13.0' ** package 'shiny' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shiny) * installing *source* package 'PairedData' ... ** this is package 'PairedData' version '1.1.1' ** package 'PairedData' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading Creating a new generic function for 'summary' in package 'PairedData' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PairedData) * installing *source* package 'ggparty' ... ** this is package 'ggparty' version '1.0.0.1' ** package 'ggparty' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggparty) * installing *source* package 'cowplot' ... ** this is package 'cowplot' version '1.2.0' ** package 'cowplot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cowplot) * installing *source* package 'mlr3' ... ** this is package 'mlr3' version '1.5.0' ** package 'mlr3' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3) * installing *source* package 'bbotk' ... ** this is package 'bbotk' version '1.9.0' ** package 'bbotk' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_dominated.c -o is_dominated.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c local_search.c -o local_search.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rc_helpers.c -o rc_helpers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test_local_search.c -o test_local_search.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bbotk.so init.o is_dominated.o local_search.o rc_helpers.o test_local_search.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-bbotk/00new/bbotk/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bbotk) * installing *source* package 'ragg' ... ** this is package 'ragg' version '1.5.1' ** package 'ragg' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lfreetype -lpng16 -lz -ltiff -ljpeg -lwebpmux -lwebp ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c capture_dev.cpp -o capture_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jpeg_dev.cpp -o jpeg_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c png_dev.cpp -o png_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ppm_dev.cpp -o ppm_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c record_dev.cpp -o record_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tiff_dev.cpp -o tiff_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c webp_anim_dev.cpp -o webp_anim_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c webp_dev.cpp -o webp_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_curves.cpp -o agg/src/agg_curves.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_font_freetype.cpp -o agg/src/agg_font_freetype.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_image_filters.cpp -o agg/src/agg_image_filters.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_trans_affine.cpp -o agg/src/agg_trans_affine.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_vcgen_dash.cpp -o agg/src/agg_vcgen_dash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_vcgen_stroke.cpp -o agg/src/agg_vcgen_stroke.o ar rcs agg/libstatagg.a agg/src/agg_curves.o agg/src/agg_font_freetype.o agg/src/agg_image_filters.o agg/src/agg_trans_affine.o agg/src/agg_vcgen_dash.o agg/src/agg_vcgen_stroke.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ragg.so capture_dev.o init.o jpeg_dev.o png_dev.o ppm_dev.o record_dev.o tiff_dev.o webp_anim_dev.o webp_dev.o -Lagg -lstatagg -L/home/th798/.conda/envs/emacs1/lib -lfreetype -lpng16 -lz -ltiff -ljpeg -lwebpmux -lwebp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ragg/00new/ragg/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ragg) * installing *source* package 'furrr' ... ** this is package 'furrr' version '0.3.1' ** package 'furrr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (furrr) * installing *source* package 'arrow' ... ** this is package 'arrow' version '23.0.1.1' ** package 'arrow' successfully unpacked and MD5 sums checked ** using staged installation *** pkg-config found. *** OpenSSL found but version >= 3.0 is required *** Found local C++ source: 'tools/cpp' *** Building libarrow from source For build options and troubleshooting, see the install guide: https://arrow.apache.org/docs/r/articles/install.html **** Not using cmake found at /home/th798/.conda/envs/emacs1/bin/cmake ***** Version >= 3.26 required; found 3.22.1 **** cmake 3.26.5: /usr/bin/cmake3 **** arrow **** Error building Arrow C++. **** Printing contents of build log because the build failed while ARROW_R_DEV was set to FALSE ++ pwd + : /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow + : tools/cpp + : /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a + : libarrow/arrow-23.0.1 + : /usr/bin/cmake3 ++ cd tools/cpp ++ pwd + SOURCE_DIR=/tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/tools/cpp ++ mkdir -p libarrow/arrow-23.0.1 ++ cd libarrow/arrow-23.0.1 ++ pwd + DEST_DIR=/tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/libarrow/arrow-23.0.1 + '[' 2 = '' ']' + '[' '' '!=' '' ']' + '[' '' = false ']' + ARROW_DEFAULT_PARAM=OFF + case "$CXX" in + mkdir -p /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a + pushd /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow + /usr/bin/cmake3 -DARROW_BOOST_USE_SHARED=OFF -DARROW_SNAPPY_USE_SHARED=OFF -DARROW_BUILD_TESTS=OFF -DARROW_BUILD_SHARED=OFF -DARROW_BUILD_STATIC=ON -DARROW_ACERO=ON -DARROW_COMPUTE=ON -DARROW_CSV=ON -DARROW_DATASET=ON -DARROW_DEPENDENCY_SOURCE=AUTO -DAWSSDK_SOURCE= -DBoost_SOURCE= -Dlz4_SOURCE= -DARROW_FILESYSTEM=ON -DARROW_GCS=OFF -DARROW_JEMALLOC=OFF -DARROW_MIMALLOC=OFF -DARROW_JSON=ON -DARROW_PARQUET=ON -DARROW_S3=OFF -DARROW_WITH_BROTLI=OFF -DARROW_WITH_BZ2=OFF -DARROW_WITH_LZ4=ON -DARROW_WITH_RE2=ON -DARROW_WITH_SNAPPY=ON -DARROW_WITH_UTF8PROC=ON -DARROW_WITH_ZLIB=OFF -DARROW_WITH_ZSTD=OFF -DARROW_VERBOSE_THIRDPARTY_BUILD=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_FIND_DEBUG_MODE=OFF -DCMAKE_INSTALL_LIBDIR=lib -DCMAKE_INSTALL_PREFIX=/tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/libarrow/arrow-23.0.1 -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_UNITY_BUILD=OFF -DOPENSSL_ROOT_DIR=/home/th798/.conda/envs/emacs1 -Dre2_SOURCE=BUNDLED -Dabsl_SOURCE=BUNDLED -Dxsimd_SOURCE= -Dzstd_SOURCE= -G 'Unix Makefiles' /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/tools/cpp -- Building using CMake version: 3.26.5 -- The C compiler identification is GNU 12.2.0 -- The CXX compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /packages/gcc/12.2.0-nnbserq/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Arrow version: 23.0.1 (full: '23.0.1') -- Arrow SO version: 2300 (full: 2300.1.0) -- clang-tidy 18 not found -- clang-format 18 not found -- Could NOT find ClangTools (missing: CLANG_FORMAT_BIN CLANG_TIDY_BIN) -- infer not found -- Found Python3: /usr/bin/python3.11 (found version "3.11.13") found components: Interpreter fatal: not a git repository (or any parent up to mount point /) Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set). -- System processor: x86_64 -- Performing Test CXX_SUPPORTS_SSE4_2 -- Performing Test CXX_SUPPORTS_SSE4_2 - Success -- Performing Test CXX_SUPPORTS_AVX2 -- Performing Test CXX_SUPPORTS_AVX2 - Success -- Performing Test CXX_SUPPORTS_AVX512 -- Performing Test CXX_SUPPORTS_AVX512 - Success -- Arrow build warning level: PRODUCTION -- Build Type: Release -- Performing Test CXX_LINKER_SUPPORTS_VERSION_SCRIPT -- Performing Test CXX_LINKER_SUPPORTS_VERSION_SCRIPT - Success -- Using AUTO approach to find dependencies -- ARROW_ABSL_BUILD_VERSION: 20211102.0 -- ARROW_ABSL_BUILD_SHA256_CHECKSUM: dcf71b9cba8dc0ca9940c4b316a0c796be8fab42b070bb6b7cab62b48f0e66c4 -- ARROW_AWS_C_AUTH_BUILD_VERSION: v0.9.0 -- ARROW_AWS_C_AUTH_BUILD_SHA256_CHECKSUM: aa6e98864fefb95c249c100da4ae7aed36ba13a8a91415791ec6fad20bec0427 -- ARROW_AWS_C_CAL_BUILD_VERSION: v0.9.2 -- ARROW_AWS_C_CAL_BUILD_SHA256_CHECKSUM: f9f3bc6a069e2efe25fcdf73e4d2b16b5608c327d2eb57c8f7a8524e9e1fcad0 -- ARROW_AWS_C_COMMON_BUILD_VERSION: v0.12.4 -- ARROW_AWS_C_COMMON_BUILD_SHA256_CHECKSUM: 0b7705a4d115663c3f485d353a75ed86e37583157585e5825d851af634b57fe3 -- ARROW_AWS_C_COMPRESSION_BUILD_VERSION: v0.3.1 -- ARROW_AWS_C_COMPRESSION_BUILD_SHA256_CHECKSUM: d89fca17a37de762dc34f332d2da402343078da8dbd2224c46a11a88adddf754 -- ARROW_AWS_C_EVENT_STREAM_BUILD_VERSION: v0.5.4 -- ARROW_AWS_C_EVENT_STREAM_BUILD_SHA256_CHECKSUM: cef8b78e362836d15514110fb43a0a0c7a86b0a210d5fe25fd248a82027a7272 -- ARROW_AWS_C_HTTP_BUILD_VERSION: v0.10.2 -- ARROW_AWS_C_HTTP_BUILD_SHA256_CHECKSUM: 048d9d683459ade363fd7cc448c2b6329c78f67a2a0c0cb61c16de4634a2fc6b -- ARROW_AWS_C_IO_BUILD_VERSION: v0.19.1 -- ARROW_AWS_C_IO_BUILD_SHA256_CHECKSUM: f2fea0c066924f7fe3c2b1c7b2fa9be640f5b16a6514854226330e63a1faacd0 -- ARROW_AWS_C_MQTT_BUILD_VERSION: v0.13.1 -- ARROW_AWS_C_MQTT_BUILD_SHA256_CHECKSUM: c54d02c1e46f55bae8d5e6f9c4b0d78d84c1c9d9ac16ba8d78c3361edcd8b5bb -- ARROW_AWS_C_S3_BUILD_VERSION: v0.8.1 -- ARROW_AWS_C_S3_BUILD_SHA256_CHECKSUM: c8b09780691d2b94e50d101c68f01fa2d1c3debb0ff3aed313d93f0d3c9af663 -- ARROW_AWS_C_SDKUTILS_BUILD_VERSION: v0.2.4 -- ARROW_AWS_C_SDKUTILS_BUILD_SHA256_CHECKSUM: 493cbed4fa57e0d4622fcff044e11305eb4fc12445f32c8861025597939175fc -- ARROW_AWS_CHECKSUMS_BUILD_VERSION: v0.2.7 -- ARROW_AWS_CHECKSUMS_BUILD_SHA256_CHECKSUM: 178e8398d98111f29150f7813a70c20ad97ab30be0de02525440355fe84ccb1d -- ARROW_AWS_CRT_CPP_BUILD_VERSION: v0.32.8 -- ARROW_AWS_CRT_CPP_BUILD_SHA256_CHECKSUM: db44260452a0296341fb8e7b987e4c328f08f7829b9f1c740fed9c963e081e93 -- ARROW_AWS_LC_BUILD_VERSION: v1.52.1 -- ARROW_AWS_LC_BUILD_SHA256_CHECKSUM: fe552e3c3522f73afc3c30011745c431c633f7b4e25dcd7b38325f194a7b3b75 -- ARROW_AWSSDK_BUILD_VERSION: 1.11.587 -- ARROW_AWSSDK_BUILD_SHA256_CHECKSUM: b9944ba9905a68d6e53abb4f36ab2b3bd18ac88d8571647bb9f2b8026b76f8cd -- ARROW_AZURE_SDK_BUILD_VERSION: azure-identity_1.9.0 -- ARROW_AZURE_SDK_BUILD_SHA256_CHECKSUM: 97065bfc971ac8df450853ce805f820f52b59457bd7556510186a1569502e4a1 -- ARROW_BOOST_BUILD_VERSION: 1.88.0 -- ARROW_BOOST_BUILD_SHA256_CHECKSUM: dcea50f40ba1ecfc448fdf886c0165cf3e525fef2c9e3e080b9804e8117b9694 -- ARROW_BROTLI_BUILD_VERSION: v1.0.9 -- ARROW_BROTLI_BUILD_SHA256_CHECKSUM: f9e8d81d0405ba66d181529af42a3354f838c939095ff99930da6aa9cdf6fe46 -- ARROW_BZIP2_BUILD_VERSION: 1.0.8 -- ARROW_BZIP2_BUILD_SHA256_CHECKSUM: ab5a03176ee106d3f0fa90e381da478ddae405918153cca248e682cd0c4a2269 -- ARROW_CARES_BUILD_VERSION: 1.17.2 -- ARROW_CARES_BUILD_SHA256_CHECKSUM: 4803c844ce20ce510ef0eb83f8ea41fa24ecaae9d280c468c582d2bb25b3913d -- ARROW_CRC32C_BUILD_VERSION: 1.1.2 -- ARROW_CRC32C_BUILD_SHA256_CHECKSUM: ac07840513072b7fcebda6e821068aa04889018f24e10e46181068fb214d7e56 -- ARROW_GBENCHMARK_BUILD_VERSION: v1.8.3 -- ARROW_GBENCHMARK_BUILD_SHA256_CHECKSUM: 6bc180a57d23d4d9515519f92b0c83d61b05b5bab188961f36ac7b06b0d9e9ce -- ARROW_GFLAGS_BUILD_VERSION: v2.2.2 -- ARROW_GFLAGS_BUILD_SHA256_CHECKSUM: 34af2f15cf7367513b352bdcd2493ab14ce43692d2dcd9dfc499492966c64dcf -- ARROW_GLOG_BUILD_VERSION: v0.5.0 -- ARROW_GLOG_BUILD_SHA256_CHECKSUM: eede71f28371bf39aa69b45de23b329d37214016e2055269b3b5e7cfd40b59f5 -- ARROW_GOOGLE_CLOUD_CPP_BUILD_VERSION: v2.22.0 -- ARROW_GOOGLE_CLOUD_CPP_BUILD_SHA256_CHECKSUM: 0c68782e57959c82e0c81def805c01460a042c1aae0c2feee905acaa2a2dc9bf -- ARROW_GRPC_BUILD_VERSION: v1.46.3 -- ARROW_GRPC_BUILD_SHA256_CHECKSUM: d6cbf22cb5007af71b61c6be316a79397469c58c82a942552a62e708bce60964 -- ARROW_GTEST_BUILD_VERSION: 1.17.0 -- ARROW_GTEST_BUILD_SHA256_CHECKSUM: 65fab701d9829d38cb77c14acdc431d2108bfdbf8979e40eb8ae567edf10b27c -- ARROW_JEMALLOC_BUILD_VERSION: 5.3.0 -- ARROW_JEMALLOC_BUILD_SHA256_CHECKSUM: 2db82d1e7119df3e71b7640219b6dfe84789bc0537983c3b7ac4f7189aecfeaa -- ARROW_LZ4_BUILD_VERSION: v1.10.0 -- ARROW_LZ4_BUILD_SHA256_CHECKSUM: 537512904744b35e232912055ccf8ec66d768639ff3abe5788d90d792ec5f48b -- ARROW_MIMALLOC_BUILD_VERSION: v3.1.5 -- ARROW_MIMALLOC_BUILD_SHA256_CHECKSUM: 1c6949032069d5ebea438ec5cedd602d06f40a92ddf0f0d9dcff0993e5f6635c -- ARROW_NLOHMANN_JSON_BUILD_VERSION: v3.12.0 -- ARROW_NLOHMANN_JSON_BUILD_SHA256_CHECKSUM: 4b92eb0c06d10683f7447ce9406cb97cd4b453be18d7279320f7b2f025c10187 -- ARROW_OPENTELEMETRY_BUILD_VERSION: v1.21.0 -- ARROW_OPENTELEMETRY_BUILD_SHA256_CHECKSUM: 98e5546f577a11b52a57faed1f4cc60d8c1daa44760eba393f43eab5a8ec46a2 -- ARROW_OPENTELEMETRY_PROTO_BUILD_VERSION: v1.7.0 -- ARROW_OPENTELEMETRY_PROTO_BUILD_SHA256_CHECKSUM: 11330d850f5e24d34c4246bc8cb21fcd311e7565d219195713455a576bb11bed -- ARROW_ORC_BUILD_VERSION: 2.2.1 -- ARROW_ORC_BUILD_SHA256_CHECKSUM: 52fc762332442e8b05d7182f8c035f9e04d945b9a52be22ab69f28b3f37d4500 -- ARROW_PROTOBUF_BUILD_VERSION: v21.3 -- ARROW_PROTOBUF_BUILD_SHA256_CHECKSUM: 2f723218f6cb709ae4cdc4fb5ed56a5951fc5d466f0128ce4c946b8c78c8c49f -- ARROW_RAPIDJSON_BUILD_VERSION: 232389d4f1012dddec4ef84861face2d2ba85709 -- ARROW_RAPIDJSON_BUILD_SHA256_CHECKSUM: b9290a9a6d444c8e049bd589ab804e0ccf2b05dc5984a19ed5ae75d090064806 -- ARROW_RE2_BUILD_VERSION: 2023-03-01 -- ARROW_RE2_BUILD_SHA256_CHECKSUM: 7a9a4824958586980926a300b4717202485c4b4115ac031822e29aa4ef207e48 -- ARROW_SNAPPY_BUILD_VERSION: 1.2.2 -- ARROW_SNAPPY_BUILD_SHA256_CHECKSUM: 90f74bc1fbf78a6c56b3c4a082a05103b3a56bb17bca1a27e052ea11723292dc -- ARROW_SUBSTRAIT_BUILD_VERSION: v0.44.0 -- ARROW_SUBSTRAIT_BUILD_SHA256_CHECKSUM: f989a862f694e7dbb695925ddb7c4ce06aa6c51aca945105c075139aed7e55a2 -- ARROW_S2N_TLS_BUILD_VERSION: v1.5.23 -- ARROW_S2N_TLS_BUILD_SHA256_CHECKSUM: 81961ea5ae9313c987edfa579306ad4500bedfbf10caf84d8a5dcfc42aaf591f -- ARROW_THRIFT_BUILD_VERSION: 0.22.0 -- ARROW_THRIFT_BUILD_SHA256_CHECKSUM: 794a0e455787960d9f27ab92c38e34da27e8deeda7a5db0e59dc64a00df8a1e5 -- ARROW_UTF8PROC_BUILD_VERSION: v2.10.0 -- ARROW_UTF8PROC_BUILD_SHA256_CHECKSUM: 6f4f1b639daa6dca9f80bc5db1233e9cbaa31a67790887106160b33ef743f136 -- ARROW_XSIMD_BUILD_VERSION: 14.0.0 -- ARROW_XSIMD_BUILD_SHA256_CHECKSUM: 17de0236954955c10c09d6938d4c5f3a3b92d31be5dadd1d5d09fc1b15490dce -- ARROW_ZLIB_BUILD_VERSION: 1.3.1 -- ARROW_ZLIB_BUILD_SHA256_CHECKSUM: 9a93b2b7dfdac77ceba5a558a580e74667dd6fede4585b91eefb60f03b72df23 -- ARROW_ZSTD_BUILD_VERSION: 1.5.7 -- ARROW_ZSTD_BUILD_SHA256_CHECKSUM: eb33e51f49a15e023950cd7825ca74a4a2b43db8354825ac24fc1b7ee09e6fa3 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Check if compiler accepts -pthread -- Check if compiler accepts -pthread - yes -- Found Threads: TRUE -- Looking for _M_ARM64 -- Looking for _M_ARM64 - not found -- Looking for __SIZEOF_INT128__ -- Looking for __SIZEOF_INT128__ - found -- Found Boost 1.70.0 at /home/th798/.conda/envs/emacs1/lib/cmake/Boost-1.70.0 -- Requested configuration: QUIET -- Found boost_headers 1.70.0 at /home/th798/.conda/envs/emacs1/lib/cmake/boost_headers-1.70.0 -- Found Boost: /home/th798/.conda/envs/emacs1/lib/cmake/Boost-1.70.0/BoostConfig.cmake (found suitable version "1.70.0", minimum required is "1.69") -- Boost include dir: /home/th798/.conda/envs/emacs1/include CMake Warning at cmake_modules/FindSnappyAlt.cmake:41 (find_package): By not providing "FindSnappy.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "Snappy", but CMake did not find one. Could not find a package configuration file provided by "Snappy" with any of the following names: SnappyConfig.cmake snappy-config.cmake Add the installation prefix of "Snappy" to CMAKE_PREFIX_PATH or set "Snappy_DIR" to a directory containing one of the above files. If "Snappy" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:1452 (resolve_dependency) CMakeLists.txt:537 (include) -- Could NOT find SnappyAlt (missing: Snappy_LIB Snappy_INCLUDE_DIR) -- Building snappy from source -- Building without OpenSSL support. Minimum OpenSSL version 1.0.2 required. CMake Warning at cmake_modules/FindThriftAlt.cmake:42 (find_package): By not providing "FindThrift.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "Thrift", but CMake did not find one. Could not find a package configuration file provided by "Thrift" (requested version 0.11.0) with any of the following names: ThriftConfig.cmake thrift-config.cmake Add the installation prefix of "Thrift" to CMAKE_PREFIX_PATH or set "Thrift_DIR" to a directory containing one of the above files. If "Thrift" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:1849 (resolve_dependency) CMakeLists.txt:537 (include) -- Checking for module 'thrift' -- No package 'thrift' found -- Could NOT find ThriftAlt: (Required is at least version "0.11.0") (found ThriftAlt_LIB-NOTFOUND) -- Thrift: Building from source -- Thrift: Configuring arrow 0.22.0 -- Thrift: libevent NOT found. -- Thrift: Found OpenSSL: /home/th798/.conda/envs/emacs1/lib/libcrypto.so (found version "1.1.1v") CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (clang-tidy) does not match the name of the calling package (ClangTools). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/build/cmake/FindClangTools.cmake:16 (find_package_handle_standard_args) /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/build/cmake/StaticCodeAnalysis.cmake:1 (find_package) /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/CMakeLists.txt:51 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Thrift: Could NOT find clang-tidy (missing: clang-tidy_BINARY) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (clang-apply-replacements) does not match the name of the calling package (ClangTools). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/build/cmake/FindClangTools.cmake:16 (find_package_handle_standard_args) /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/build/cmake/StaticCodeAnalysis.cmake:1 (find_package) /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/CMakeLists.txt:51 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Thrift: Could NOT find clang-apply-replacements (missing: clang-apply-replacements_BINARY) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (run-clang-tidy) does not match the name of the calling package (ClangTools). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/build/cmake/FindClangTools.cmake:24 (find_package_handle_standard_args) /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/build/cmake/StaticCodeAnalysis.cmake:1 (find_package) /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/CMakeLists.txt:51 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Thrift: Could NOT find run-clang-tidy (missing: run-clang-tidy_BINARY) -- Thrift: Looking for arpa/inet.h -- Thrift: Looking for arpa/inet.h - found -- Thrift: Looking for fcntl.h -- Thrift: Looking for fcntl.h - found -- Thrift: Looking for getopt.h -- Thrift: Looking for getopt.h - found -- Thrift: Looking for inttypes.h -- Thrift: Looking for inttypes.h - found -- Thrift: Looking for netdb.h -- Thrift: Looking for netdb.h - found -- Thrift: Looking for netinet/in.h -- Thrift: Looking for netinet/in.h - found -- Thrift: Looking for signal.h -- Thrift: Looking for signal.h - found -- Thrift: Looking for stdint.h -- Thrift: Looking for stdint.h - found -- Thrift: Looking for unistd.h -- Thrift: Looking for unistd.h - found -- Thrift: Looking for pthread.h -- Thrift: Looking for pthread.h - found -- Thrift: Looking for sys/ioctl.h -- Thrift: Looking for sys/ioctl.h - found -- Thrift: Looking for sys/param.h -- Thrift: Looking for sys/param.h - found -- Thrift: Looking for sys/resource.h -- Thrift: Looking for sys/resource.h - found -- Thrift: Looking for sys/socket.h -- Thrift: Looking for sys/socket.h - found -- Thrift: Looking for sys/stat.h -- Thrift: Looking for sys/stat.h - found -- Thrift: Looking for sys/time.h -- Thrift: Looking for sys/time.h - found -- Thrift: Looking for sys/un.h -- Thrift: Looking for sys/un.h - found -- Thrift: Looking for poll.h -- Thrift: Looking for poll.h - found -- Thrift: Looking for sys/poll.h -- Thrift: Looking for sys/poll.h - found -- Thrift: Looking for sys/select.h -- Thrift: Looking for sys/select.h - found -- Thrift: Looking for sched.h -- Thrift: Looking for sched.h - found -- Thrift: Looking for string.h -- Thrift: Looking for string.h - found -- Thrift: Looking for strings.h -- Thrift: Looking for strings.h - found -- Thrift: Performing Test HAVE_AF_UNIX_H -- Thrift: Performing Test HAVE_AF_UNIX_H - Failed -- Thrift: Looking for gethostbyname -- Thrift: Looking for gethostbyname - found -- Thrift: Looking for gethostbyname_r -- Thrift: Looking for gethostbyname_r - found -- Thrift: Looking for strerror_r -- Thrift: Looking for strerror_r - found -- Thrift: Looking for sched_get_priority_max -- Thrift: Looking for sched_get_priority_max - found -- Thrift: Looking for sched_get_priority_min -- Thrift: Looking for sched_get_priority_min - found -- Thrift: Performing Test STRERROR_R_CHAR_P -- Thrift: Performing Test STRERROR_R_CHAR_P - Success -- Thrift: Building without tests -- Thrift: Found Boost 1.70.0 at /home/th798/.conda/envs/emacs1/lib/cmake/Boost-1.70.0 -- Thrift: Requested configuration: QUIET REQUIRED -- Thrift: ---------------------------------------------------------- -- Thrift: Thrift version: 0.22.0 (0.22.0) -- Thrift: Thrift package version: 0.22.0 -- Thrift: -- Thrift: Build configuration summary -- Thrift: Build compiler: OFF -- Thrift: Build libraries: ON -- Thrift: Build tests: OFF -- Thrift: - Disabled because BUILD_COMPILER=OFF and no valid THRIFT_COMPILER is given -- Thrift: Build type: Release -- Thrift: -- Thrift: Language libraries: -- Thrift: -- Thrift: Build as3 library: OFF -- Thrift: - Disabled by WITH_AS3=OFF -- Thrift: - Adobe Flex compc was not found - did you set env var FLEX_HOME? -- Thrift: -- Thrift: Build with OpenSSL: OFF -- Thrift: -- Thrift: Build C++ library: ON -- Thrift: C++ Language Level: C++20 [compiler must support it] -- Thrift: Build shared libraries: OFF -- Thrift: Build with libevent support: OFF -- Thrift: Build with Qt5 support: OFF -- Thrift: Build with ZLIB support: OFF -- Thrift: -- Thrift: Build C (GLib) library: OFF -- Thrift: - Disabled by WITH_C_GLIB=OFF -- Thrift: - GLib missing -- Thrift: -- Thrift: Build Java library: OFF -- Thrift: - Disabled by WITH_JAVA=OFF -- Thrift: - Gradle missing -- Thrift: Build Javascript library: OFF -- Thrift: - Disabled by WITH_JAVASCRIPT=OFF -- Thrift: Build NodeJS library: OFF -- Thrift: - Disabled by WITH_NODEJS=OFF -- Thrift: -- Thrift: Build Python library: OFF -- Thrift: - Disabled by WITH_PYTHON=OFF -- Thrift: -- Thrift: -- Thrift: ---------------------------------------------------------- CMake Warning at cmake_modules/FindRapidJSONAlt.cmake:29 (find_package): By not providing "FindRapidJSON.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "RapidJSON", but CMake did not find one. Could not find a package configuration file provided by "RapidJSON" (requested version 1.1.0) with any of the following names: RapidJSONConfig.cmake rapidjson-config.cmake Add the installation prefix of "RapidJSON" to CMAKE_PREFIX_PATH or set "RapidJSON_DIR" to a directory containing one of the above files. If "RapidJSON" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:2607 (resolve_dependency) CMakeLists.txt:537 (include) -- Could NOT find RapidJSONAlt (missing: RAPIDJSON_INCLUDE_DIR) (Required is at least version "1.1.0") -- Building RapidJSON from source CMake Warning at cmake_modules/ThirdpartyToolchain.cmake:291 (find_package): By not providing "Findxsimd.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "xsimd", but CMake did not find one. Could not find a package configuration file provided by "xsimd" with any of the following names: xsimdConfig.cmake xsimd-config.cmake Add the installation prefix of "xsimd" to CMAKE_PREFIX_PATH or set "xsimd_DIR" to a directory containing one of the above files. If "xsimd" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:2647 (resolve_dependency) CMakeLists.txt:537 (include) -- Building xsimd from source -- Found ZLIB: /packages/zlib/1.2.13-po6bkge/lib/libz.so (found version "1.2.13") -- Using pkg-config package for zlib that is used by arrow for static link CMake Warning at cmake_modules/Findlz4Alt.cmake:29 (find_package): By not providing "Findlz4.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "lz4", but CMake did not find one. Could not find a package configuration file provided by "lz4" with any of the following names: lz4Config.cmake lz4-config.cmake Add the installation prefix of "lz4" to CMAKE_PREFIX_PATH or set "lz4_DIR" to a directory containing one of the above files. If "lz4" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:2767 (resolve_dependency) CMakeLists.txt:537 (include) -- Checking for module 'liblz4' -- Found liblz4, version 1.9.3 -- Found lz4Alt: /home/th798/.conda/envs/emacs1/lib/liblz4.so -- Providing CMake module for Findlz4Alt as part of Arrow CMake package -- Using pkg-config package for liblz4 that is used by arrow for static link -- RE2: Building RE2 from source using FetchContent -- Could NOT find utf8proc: (Required is at least version "2.2.0") (found utf8proc_LIB-NOTFOUND) -- Building utf8proc from source -- Found hdfs.h at: /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/tools/cpp/thirdparty/hadoop/include/hdfs.h -- All bundled static libraries: Snappy::snappy-static;thrift;re2::re2;utf8proc::utf8proc -- CMAKE_C_FLAGS: -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -Wall -fno-semantic-interposition -msse4.2 -- CMAKE_CXX_FLAGS: -Wno-noexcept-type -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fdiagnostics-color=always -Wall -fno-semantic-interposition -msse4.2 -- CMAKE_C_FLAGS_RELEASE: -O3 -DNDEBUG -O2 -ftree-vectorize -- CMAKE_CXX_FLAGS_RELEASE: -O3 -DNDEBUG -O2 -ftree-vectorize -- Creating bundled static library target arrow_bundled_dependencies at /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/release/libarrow_bundled_dependencies.a -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- --------------------------------------------------------------------- -- Arrow version: 23.0.1 -- -- Build configuration summary: -- Generator: Unix Makefiles -- Build type: Release -- Source directory: /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/tools/cpp -- Install prefix: /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/libarrow/arrow-23.0.1 -- -- Compile and link options: -- -- ARROW_CXXFLAGS="" [default=""] -- Compiler flags to append when compiling Arrow -- ARROW_BUILD_STATIC=ON [default=ON] -- Build static libraries -- ARROW_BUILD_SHARED=OFF [default=ON] -- Build shared libraries -- ARROW_PACKAGE_KIND="" [default=""] -- Arbitrary string that identifies the kind of package -- (for informational purposes) -- ARROW_GIT_ID="" [default=""] -- The Arrow git commit id (if any) -- ARROW_GIT_DESCRIPTION="" [default=""] -- The Arrow git commit description (if any) -- ARROW_POSITION_INDEPENDENT_CODE=ON [default=ON] -- Whether to create position-independent target -- ARROW_USE_CCACHE=ON [default=ON] -- Use ccache when compiling (if available) -- ARROW_USE_SCCACHE=ON [default=ON] -- Use sccache when compiling (if available), -- takes precedence over ccache if a storage backend is configured -- ARROW_USE_LLD=OFF [default=OFF] -- Use the LLVM lld for linking (if available) -- ARROW_USE_MOLD=OFF [default=OFF] -- Use mold for linking on Linux (if available) -- ARROW_SIMD_LEVEL=SSE4_2 [default=DEFAULT|NONE|SSE4_2|AVX2|AVX512|NEON|SVE|SVE128|SVE256|SVE512] -- Compile-time SIMD optimization level -- ARROW_RUNTIME_SIMD_LEVEL=MAX [default=MAX|NONE|SSE4_2|AVX2|AVX512] -- Max runtime SIMD optimization level -- ARROW_ALTIVEC=ON [default=ON] -- Build with Altivec if compiler has support -- ARROW_RPATH_ORIGIN=OFF [default=OFF] -- Build Arrow libraries with RATH set to $ORIGIN -- ARROW_INSTALL_NAME_RPATH=ON [default=ON] -- Build Arrow libraries with install_name set to @rpath -- ARROW_GGDB_DEBUG=ON [default=ON] -- Pass -ggdb flag to debug builds -- ARROW_WITH_MUSL=OFF [default=OFF] -- Whether the system libc is musl or not -- ARROW_ENABLE_THREADING=ON [default=ON] -- Enable threading in Arrow core -- -- Tests and benchmarks options: -- -- ARROW_BUILD_EXAMPLES=OFF [default=OFF] -- Build the Arrow examples -- ARROW_BUILD_TESTS=OFF [default=OFF] -- Build the Arrow googletest unit tests -- ARROW_ENABLE_TIMING_TESTS=ON [default=ON] -- Enable timing-sensitive tests -- ARROW_BUILD_INTEGRATION=OFF [default=OFF] -- Build the Arrow integration test executables -- ARROW_BUILD_BENCHMARKS=OFF [default=OFF] -- Build the Arrow micro benchmarks -- ARROW_BUILD_BENCHMARKS_REFERENCE=OFF [default=OFF] -- Build the Arrow micro reference benchmarks -- ARROW_BUILD_DETAILED_BENCHMARKS=OFF [default=OFF] -- Build benchmarks that do a longer exploration of performance -- ARROW_TEST_LINKAGE=static [default=static|shared] -- Linkage of Arrow libraries with unit tests executables. -- ARROW_BUILD_FUZZING_UTILITIES=OFF [default=OFF] -- Build command line utilities for fuzzing -- ARROW_FUZZING=OFF [default=OFF] -- Build Arrow fuzz targets -- ARROW_LARGE_MEMORY_TESTS=OFF [default=OFF] -- Enable unit tests which use large memory -- -- Coverage options: -- -- ARROW_GENERATE_COVERAGE=OFF [default=OFF] -- Build with C++ code coverage enabled -- -- Checks options: -- -- ARROW_TEST_MEMCHECK=OFF [default=OFF] -- Run the test suite using valgrind --tool=memcheck -- ARROW_USE_ASAN=OFF [default=OFF] -- Enable Address Sanitizer checks -- ARROW_USE_TSAN=OFF [default=OFF] -- Enable Thread Sanitizer checks -- ARROW_USE_UBSAN=OFF [default=OFF] -- Enable Undefined Behavior sanitizer checks -- -- Project component options: -- -- ARROW_ACERO=ON [default=OFF] -- Build the Arrow Acero Engine Module -- ARROW_AZURE=OFF [default=OFF] -- Build Arrow with Azure support (requires the Azure SDK for C++) -- ARROW_BUILD_UTILITIES=OFF [default=OFF] -- Build Arrow command line utilities -- ARROW_COMPUTE=ON [default=OFF] -- Build all Arrow Compute kernels -- ARROW_CSV=ON [default=OFF] -- Build the Arrow CSV Parser Module -- ARROW_CUDA=OFF [default=OFF] -- Build the Arrow CUDA extensions (requires CUDA toolkit) -- ARROW_DATASET=ON [default=OFF] -- Build the Arrow Dataset Modules -- ARROW_FILESYSTEM=ON [default=OFF] -- Build the Arrow Filesystem Layer -- ARROW_FLIGHT=OFF [default=OFF] -- Build the Arrow Flight RPC System (requires GRPC, Protocol Buffers) -- ARROW_FLIGHT_SQL=OFF [default=OFF] -- Build the Arrow Flight SQL extension -- ARROW_FLIGHT_SQL_ODBC=OFF [default=OFF] -- Build the Arrow Flight SQL ODBC extension -- ARROW_GANDIVA=OFF [default=OFF] -- Build the Gandiva libraries -- ARROW_GCS=OFF [default=C++ Client Libraries)] -- Build Arrow with GCS support (requires the Google Cloud Platform -- ARROW_HDFS=OFF [default=OFF] -- Build the Arrow HDFS bridge -- ARROW_IPC=ON [default=ON] -- Build the Arrow IPC extensions -- ARROW_JEMALLOC=OFF [default=OFF] -- Build the Arrow jemalloc-based allocator -- ARROW_JSON=ON [default=OFF] -- Build Arrow with JSON support (requires RapidJSON) -- ARROW_MIMALLOC=OFF [default=ON] -- Build the Arrow mimalloc-based allocator -- ARROW_PARQUET=ON [default=OFF] -- Build the Parquet libraries -- ARROW_ORC=OFF [default=OFF] -- Build the Arrow ORC adapter -- ARROW_PYTHON=OFF [default=OFF] -- Build some components needed by PyArrow. -- (This is a deprecated option. Use CMake presets instead.) -- ARROW_S3=OFF [default=OFF] -- Build Arrow with S3 support (requires the AWS SDK for C++) -- ARROW_S3_MODULE=OFF [default=OFF] -- Build the Arrow S3 filesystem as a dynamic module -- ARROW_SUBSTRAIT=OFF [default=OFF] -- Build the Arrow Substrait Consumer Module -- ARROW_TENSORFLOW=OFF [default=OFF] -- Build Arrow with TensorFlow support enabled -- ARROW_TESTING=OFF [default=OFF] -- Build the Arrow testing libraries -- -- Thirdparty toolchain options: -- -- ARROW_DEPENDENCY_SOURCE=AUTO [default=CONDA|AUTO|BUNDLED|SYSTEM|VCPKG|BREW] -- Method to use for acquiring arrow's build dependencies -- ARROW_VERBOSE_THIRDPARTY_BUILD=OFF [default=OFF] -- Show output from ExternalProjects rather than just logging to files -- ARROW_DEPENDENCY_USE_SHARED=ON [default=ON] -- Link to shared libraries -- ARROW_BOOST_USE_SHARED=OFF [default=ON] -- Rely on Boost shared libraries where relevant -- ARROW_BROTLI_USE_SHARED=ON [default=ON] -- Rely on Brotli shared libraries where relevant -- ARROW_BZ2_USE_SHARED=ON [default=ON] -- Rely on Bz2 shared libraries where relevant -- ARROW_GFLAGS_USE_SHARED=ON [default=ON] -- Rely on GFlags shared libraries where relevant -- ARROW_GRPC_USE_SHARED=ON [default=ON] -- Rely on gRPC shared libraries where relevant -- ARROW_JEMALLOC_USE_SHARED=ON [default=ON] -- Rely on jemalloc shared libraries where relevant -- ARROW_LLVM_USE_SHARED=ON [default=ON] -- Rely on LLVM shared libraries where relevant -- ARROW_LZ4_USE_SHARED=ON [default=ON] -- Rely on lz4 shared libraries where relevant -- ARROW_OPENSSL_USE_SHARED=ON [default=ON] -- Rely on OpenSSL shared libraries where relevant -- ARROW_PROTOBUF_USE_SHARED=ON [default=ON] -- Rely on Protocol Buffers shared libraries where relevant -- ARROW_SNAPPY_USE_SHARED=OFF [default=ON] -- Rely on snappy shared libraries where relevant -- ARROW_THRIFT_USE_SHARED=ON [default=ON] -- Rely on thrift shared libraries where relevant -- ARROW_UTF8PROC_USE_SHARED=ON [default=ON] -- Rely on utf8proc shared libraries where relevant -- ARROW_ZSTD_USE_SHARED=ON [default=ON] -- Rely on zstd shared libraries where relevant -- ARROW_USE_GLOG=OFF [default=OFF] -- Build libraries with glog support for pluggable logging -- ARROW_WITH_BACKTRACE=ON [default=ON] -- Build with backtrace support -- ARROW_WITH_OPENTELEMETRY=OFF [default=OFF] -- Build libraries with OpenTelemetry support for distributed tracing -- ARROW_WITH_BROTLI=OFF [default=OFF] -- Build with Brotli compression -- ARROW_WITH_BZ2=OFF [default=OFF] -- Build with BZ2 compression -- ARROW_WITH_LZ4=ON [default=OFF] -- Build with lz4 compression -- ARROW_WITH_SNAPPY=ON [default=OFF] -- Build with Snappy compression -- ARROW_WITH_ZLIB=ON [default=OFF] -- Build with zlib compression -- ARROW_WITH_ZSTD=OFF [default=OFF] -- Build with zstd compression -- ARROW_WITH_UTF8PROC=ON [default=ON] -- Build with support for Unicode properties using the utf8proc library -- (only used if ARROW_COMPUTE is ON or ARROW_GANDIVA is ON) -- ARROW_WITH_RE2=ON [default=ON] -- Build with support for regular expressions using the re2 library -- (only used if ARROW_COMPUTE or ARROW_GANDIVA is ON) -- -- Parquet options: -- -- PARQUET_BUILD_EXECUTABLES=OFF [default=OFF] -- Build the Parquet executable CLI tools. Requires static libraries to be built. -- PARQUET_BUILD_EXAMPLES=OFF [default=OFF] -- Build the Parquet examples. Requires static libraries to be built. -- PARQUET_REQUIRE_ENCRYPTION=OFF [default=OFF] -- Build support for encryption. Fail if OpenSSL is not found -- -- Gandiva options: -- -- ARROW_GANDIVA_STATIC_LIBSTDCPP=OFF [default=OFF] -- Include -static-libstdc++ -static-libgcc when linking with -- Gandiva static libraries -- ARROW_GANDIVA_PC_CXX_FLAGS="" [default=""] -- Compiler flags to append when pre-compiling Gandiva operations -- -- Cross compiling options: -- -- ARROW_GRPC_CPP_PLUGIN="" [default=""] -- grpc_cpp_plugin path to be used -- -- Advanced developer options: -- -- ARROW_EXTRA_ERROR_CONTEXT=OFF [default=OFF] -- Compile with extra error context (line numbers, code) -- ARROW_OPTIONAL_INSTALL=OFF [default=OFF] -- If enabled install ONLY targets that have already been built. Please be -- advised that if this is enabled 'install' will fail silently on components -- that have not been built -- ARROW_GDB_INSTALL_DIR="" [default=""] -- Use a custom install directory for GDB plugin. -- In general, you don't need to specify this because the default -- (CMAKE_INSTALL_FULL_BINDIR on Windows, CMAKE_INSTALL_FULL_LIBDIR otherwise) -- is reasonable. -- Outputting build configuration summary to /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/cmake_summary.json -- Configuring done (12.5s) -- Generating done (0.1s) -- Build files have been written to: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a + /usr/bin/cmake3 --build . --target install -- -j 2 [ 0%] Creating directories for 'snappy_ep' [ 0%] Creating directories for 'rapidjson_ep' [ 1%] Performing download step (download, verify and extract) for 'snappy_ep' [ 1%] Performing download step (download, verify and extract) for 'rapidjson_ep' -- snappy_ep download command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-download-*.log -- rapidjson_ep download command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/rapidjson_ep-stamp/rapidjson_ep-download-*.log [ 1%] No update step for 'snappy_ep' [ 2%] No update step for 'rapidjson_ep' [ 2%] No patch step for 'snappy_ep' [ 2%] No patch step for 'rapidjson_ep' [ 2%] Performing configure step for 'snappy_ep' [ 2%] Performing configure step for 'rapidjson_ep' -- rapidjson_ep configure command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/rapidjson_ep-stamp/rapidjson_ep-configure-*.log [ 3%] Performing build step for 'rapidjson_ep' -- rapidjson_ep build command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/rapidjson_ep-stamp/rapidjson_ep-build-*.log [ 3%] Performing install step for 'rapidjson_ep' -- rapidjson_ep install command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/rapidjson_ep-stamp/rapidjson_ep-install-*.log [ 3%] Completed 'rapidjson_ep' [ 3%] Built target rapidjson_ep [ 3%] Creating directories for 'xsimd_ep' [ 3%] Performing download step (download, verify and extract) for 'xsimd_ep' -- xsimd_ep download command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/xsimd_ep-stamp/xsimd_ep-download-*.log [ 4%] No update step for 'xsimd_ep' [ 4%] No patch step for 'xsimd_ep' [ 5%] Performing configure step for 'xsimd_ep' -- xsimd_ep configure command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/xsimd_ep-stamp/xsimd_ep-configure-*.log [ 5%] Performing build step for 'xsimd_ep' -- xsimd_ep build command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/xsimd_ep-stamp/xsimd_ep-build-*.log [ 5%] Performing install step for 'xsimd_ep' -- xsimd_ep install command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/src/xsimd_ep-stamp/xsimd_ep-install-*.log [ 5%] Completed 'xsimd_ep' [ 5%] Built target xsimd_ep [ 7%] Creating directories for 'utf8proc_ep' [ 7%] Performing download step (download, verify and extract) for 'utf8proc_ep' -- utf8proc_ep download command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-download-*.log [ 7%] No update step for 'utf8proc_ep' [ 7%] No patch step for 'utf8proc_ep' [ 7%] Performing configure step for 'utf8proc_ep' -- snappy_ep configure command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-configure-*.log [ 7%] Performing build step for 'snappy_ep' -- utf8proc_ep configure command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-configure-*.log [ 7%] Performing build step for 'utf8proc_ep' -- utf8proc_ep build command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-build-*.log [ 7%] Performing install step for 'utf8proc_ep' -- utf8proc_ep install command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-install-*.log [ 8%] Completed 'utf8proc_ep' [ 8%] Built target utf8proc_ep [ 8%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_base.cc.o -- snappy_ep build command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-build-*.log [ 8%] Performing install step for 'snappy_ep' -- snappy_ep install command succeeded. See also /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-install-*.log [ 8%] Completed 'snappy_ep' [ 8%] Built target snappy_ep [ 8%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/buffered.cc.o [ 8%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_binary.cc.o [ 8%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/caching.cc.o [ 8%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_decimal.cc.o [ 8%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/compressed.cc.o [ 8%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_dict.cc.o [ 9%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/file.cc.o [ 9%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/hdfs.cc.o [ 9%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/hdfs_internal.cc.o [ 10%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_nested.cc.o [ 10%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/interfaces.cc.o [ 10%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_primitive.cc.o [ 10%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/memory.cc.o [ 10%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_run_end.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/slow.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/builder_adaptive.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/stdio.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/builder_base.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/transform.cc.o [ 12%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/builder_binary.cc.o [ 12%] Built target arrow_io [ 14%] Building CXX object src/arrow/CMakeFiles/arrow_memory_pool.dir/memory_pool.cc.o [ 14%] Building CXX object 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_deps/re2-build/CMakeFiles/re2.dir/util/rune.cc.o [ 51%] Building CXX object _deps/re2-build/CMakeFiles/re2.dir/util/strutil.cc.o [ 51%] Linking CXX static library libre2.a [ 51%] Built target re2 [ 51%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/TApplicationException.cpp.o [ 52%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_selection.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TApplicationException.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TApplicationException.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 52%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/TOutput.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TOutput.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 52%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/TUuid.cpp.o [ 52%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_selection_filter_internal.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TUuid.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TUuid.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 52%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/async/TAsyncChannel.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncChannel.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncChannel.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/alloc_traits.h:33, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ext/alloc_traits.h:34, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/unordered_map:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/functional:61, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncChannel.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 54%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/async/TAsyncProtocolProcessor.cpp.o [ 54%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_selection_internal.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProcessor.h:26, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProtocolProcessor.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProtocolProcessor.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/alloc_traits.h:33, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ext/alloc_traits.h:34, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/unordered_map:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/functional:61, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProcessor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 54%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/async/TConcurrentClientSyncInfo.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TApplicationException.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TConcurrentClientSyncInfo.cpp:22: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/async/TConcurrentClientSyncInfo.cpp:21: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 54%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/ThreadManager.cpp.o [ 54%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_selection_take_internal.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.cpp:22: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/alloc_traits.h:33, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ext/alloc_traits.h:34, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/unordered_map:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/functional:61, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 54%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/TimerManager.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/TimerManager.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/TimerManager.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/chrono:41, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 54%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/processor/PeekProcessor.cpp.o [ 54%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_swizzle.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/processor/PeekProcessor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/processor/PeekProcessor.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/processor/PeekProcessor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TBase64Utils.cpp.o [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TDebugProtocol.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TVirtualProtocol.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TDebugProtocol.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TDebugProtocol.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TJSONProtocol.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TVirtualProtocol.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TJSONProtocol.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TJSONProtocol.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TMultiplexedProtocol.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocolDecorator.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TMultiplexedProtocol.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TMultiplexedProtocol.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 55%] Built target arrow_compute_core [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TProtocol.cpp.o [ 55%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/builder.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TTransportException.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/specfun.h:45, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/cmath:1935, from /home/th798/.conda/envs/emacs1/include/boost/config/no_tr1/cmath.hpp:21, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter_policies.hpp:15, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter.hpp:14, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/cast.hpp:33, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TFDTransport.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:28, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.cpp:34: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TSimpleFileTransport.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:28, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSimpleFileTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSimpleFileTransport.cpp:22: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/THttpTransport.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.cpp:22: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/THttpClient.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpClient.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpClient.cpp:26: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpClient.cpp:22: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/THttpServer.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpServer.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpServer.cpp:25: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpServer.cpp:21: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TSocket.cpp.o [ 57%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/buffer.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocket.cpp:52: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocket.cpp:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/chunked_array.cc.o [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TSocketPool.cpp.o [ 57%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/chunk_resolver.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocket.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketPool.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketPool.cpp:29: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/algorithm:60, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketPool.cpp:22: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TServerSocket.cpp.o [ 57%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/compare.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.h:27, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.cpp:54: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.cpp:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.cpp:56: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketUtils.h:65:22: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 65 | struct Iter : std::iterator { | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TTransportUtils.cpp.o [ 58%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/config.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportUtils.h:27, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportUtils.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportUtils.h:25: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 58%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/datum.cc.o [ 58%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TBufferTransports.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.cpp:24: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/algorithm:60, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 58%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/device.cc.o [ 60%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/SocketCommon.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/SocketCommon.cpp:24: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/SocketCommon.h:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/SocketCommon.cpp:22: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 60%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TConnectedClient.cpp.o [ 60%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/device_allocation_type_set.cc.o [ 60%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension_type.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TConnectedClient.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TConnectedClient.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TConnectedClient.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 60%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TServerFramework.cpp.o [ 61%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension/bool8.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.cpp:24: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/algorithm:60, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 61%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension/json.cc.o [ 61%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TSimpleServer.cpp.o [ 61%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension/uuid.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TSimpleServer.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TSimpleServer.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 61%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TThreadPoolServer.cpp.o [ 61%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/pretty_print.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadPoolServer.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadPoolServer.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/stdexcept:39, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/system_error:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/std_mutex.h:39, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/atomic_wait.h:49, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/atomic_base.h:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/atomic:41, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadPoolServer.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 62%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TThreadedServer.cpp.o [ 62%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/record_batch.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadedServer.cpp:22: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadedServer.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 62%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TPipe.cpp.o [ 63%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/result.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TPipe.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/specfun.h:45, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/cmath:1935, from /home/th798/.conda/envs/emacs1/include/boost/config/no_tr1/cmath.hpp:21, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter_policies.hpp:15, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter.hpp:14, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/cast.hpp:33, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 63%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TPipeServer.cpp.o [ 63%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/scalar.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TPipe.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TPipeServer.cpp:23: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 63%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TFileTransport.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFileTransport.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFileTransport.cpp:47: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ostream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/iostream:39, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TFileTransport.cpp:36: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 63%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/VirtualProfiling.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/VirtualProfiling.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 63%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TServer.cpp.o [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/ThreadFactory.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.cpp:22: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/Thread.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.cpp:20: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/Monitor.cpp.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.cpp:22: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/chrono:41, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/Mutex.cpp.o [ 64%] Linking CXX static library ../../../../lib/libthrift.a [ 64%] Built target thrift [ 64%] Bundling /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/release/libarrow_bundled_dependencies.a [ 64%] Built target arrow_bundled_dependencies_merge [ 64%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/sparse_tensor.cc.o [ 64%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/status.cc.o [ 64%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/table.cc.o [ 65%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/table_builder.cc.o [ 65%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/tensor.cc.o [ 65%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/tensor/coo_converter.cc.o [ 65%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/tensor/csf_converter.cc.o [ 65%] Building CXX object 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object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/reader.cc.o [ 69%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/reader_internal.cc.o [ 69%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_mode.cc.o [ 69%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/schema.cc.o [ 69%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_pivot.cc.o [ 69%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/schema_internal.cc.o [ 69%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/variant_internal.cc.o [ 69%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_quantile.cc.o [ 70%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/writer.cc.o [ 70%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/bloom_filter.cc.o In file included from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:25, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/TBase.h:24, from /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/tools/cpp/src/generated/parquet_types.h:14, from /tmp/th798/27261227/RtmppSwXdu/R.INSTALL2b936f894ca79/arrow/tools/cpp/src/parquet/bloom_filter.cc:26: /tmp/th798/27261227/RtmpskTxQN/file2b94396f9d3c1a/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:23:10: fatal error: boost/numeric/conversion/cast.hpp: No such file or directory 23 | #include  | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compilation terminated. make[2]: *** [src/parquet/CMakeFiles/parquet_objlib.dir/build.make:188: src/parquet/CMakeFiles/parquet_objlib.dir/bloom_filter.cc.o] Error 1 make[1]: *** [CMakeFiles/Makefile2:2600: src/parquet/CMakeFiles/parquet_objlib.dir/all] Error 2 make[1]: *** Waiting for unfinished jobs.... 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src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/compare_internal.cc.o [ 78%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/grouper.cc.o [ 80%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/row_encoder_internal.cc.o [ 80%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/row_internal.cc.o [ 80%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/util.cc.o [ 80%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/util_internal.cc.o [ 80%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_basic_avx2.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_basic_avx512.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/key_hash_internal_avx2.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/key_map_internal_avx2.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/compare_internal_avx2.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/encode_internal_avx2.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/util_avx2.cc.o [ 81%] Built target arrow_compute_objlib gmake: *** [Makefile:166: all] Error 2 **** Complete build log may still be present at /tmp/th798/27261227/RtmpskTxQN/file2b9439297defaf.log *** Failed to find Arrow C++ libraries. ------------------------- NOTE --------------------------- There was an issue preparing the Arrow C++ libraries. See https://arrow.apache.org/docs/r/articles/install.html ---------------------------------------------------------- Test compile error: :1:10: fatal error: arrow/api.h: No such file or directory compilation terminated. Failing compile command: /packages/gcc/12.2.0-nnbserq/bin/g++ -E -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -std=gnu++20 -xc++ - PKG_CFLAGS= PKG_LIBS= ERROR: configuration failed for package 'arrow' * removing '/tmp/th798/27261227/R-devel/841/library/arrow' * installing *source* package 'blme' ... ** this is package 'blme' version '1.0-7' ** package 'blme' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blme) * installing *source* package 'clarify' ... ** this is package 'clarify' version '0.2.2' ** package 'clarify' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clarify) * installing *source* package 'cobalt' ... ** this is package 'cobalt' version '4.6.2' ** package 'cobalt' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cobalt) * installing *source* package 'covr' ... ** this is package 'covr' version '3.6.5' ** package 'covr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reassign.c -o reassign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o covr.so reassign.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-covr/00new/covr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (covr) * installing *source* package 'crch' ... ** this is package 'crch' version '1.2-2' ** package 'crch' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clogis.c -o clogis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cnorm.c -o cnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ct.c -o ct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mycov.c -o mycov.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tlogis.c -o tlogis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tnorm.c -o tnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tt.c -o tt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o crch.so clogis.o cnorm.o ct.o init.o mycov.o tlogis.o tnorm.o tt.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-crch/00new/crch/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crch) * installing *source* package 'distributional' ... ** this is package 'distributional' version '0.6.0' ** package 'distributional' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (distributional) * installing *source* package 'ggokabeito' ... ** this is package 'ggokabeito' version '0.1.0' ** package 'ggokabeito' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggokabeito) * installing *source* package 'ggrepel' ... ** this is package 'ggrepel' version '0.9.7' ** package 'ggrepel' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c repel_boxes.cpp -o repel_boxes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ggrepel.so RcppExports.o repel_boxes.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ggrepel/00new/ggrepel/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggrepel) * installing *source* package 'lmerTest' ... ** this is package 'lmerTest' version '3.2-1' ** package 'lmerTest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lmerTest) * installing *source* package 'mhurdle' ... ** this is package 'mhurdle' version '1.3-2' ** package 'mhurdle' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ptnorm.f -o ptnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mhurdle.so init.o ptnorm.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mhurdle/00new/mhurdle/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mhurdle) * installing *source* package 'modelbased' ... ** this is package 'modelbased' version '0.14.0' ** package 'modelbased' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelbased) * installing *source* package 'modelsummary' ... ** this is package 'modelsummary' version '2.6.0' ** package 'modelsummary' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelsummary) * installing *source* package 'patchwork' ... ** this is package 'patchwork' version '1.3.2' ** package 'patchwork' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (patchwork) * installing *source* package 'rcmdcheck' ... ** this is package 'rcmdcheck' version '1.4.0' ** package 'rcmdcheck' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rcmdcheck) * installing *source* package 'rmarkdown' ... ** this is package 'rmarkdown' version '2.30' ** package 'rmarkdown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmarkdown) * installing *source* package 'robustlmm' ... ** this is package 'robustlmm' version '3.4-2' ** package 'robustlmm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Integration.cpp -o Integration.o In file included from /tmp/th798/27261227/R-devel/841/library/Rcpp/include/RcppCommon.h:29, from /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp.h:27, from misc.h:8, from Integration.h:4, from Integration.cpp:1: /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/r/check_r_headers.h:27:21: note: '#pragma message: R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410' 27 | #pragma message "R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410" | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c PsiFunction.cpp -o PsiFunction.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c local_stubs.c -o local_stubs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc.cpp -o misc.o In file included from /tmp/th798/27261227/R-devel/841/library/Rcpp/include/RcppCommon.h:29, from /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp.h:27, from misc.h:8, from misc.cpp:1: /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/r/check_r_headers.h:27:21: note: '#pragma message: R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410' 27 | #pragma message "R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410" | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlmerMatrixUtils.cpp -o rlmerMatrixUtils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-devel/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c robustlmm_init.cpp -o robustlmm_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o robustlmm.so Integration.o PsiFunction.o local_stubs.o misc.o rlmerMatrixUtils.o robustlmm_init.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-robustlmm/00new/robustlmm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robustlmm) * installing *source* package 'svglite' ... ** this is package 'svglite' version '2.2.2' ** package 'svglite' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SvgStream.cpp -o SvgStream.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-devel/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c devSVG.cpp -o devSVG.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o svglite.so SvgStream.o cpp11.o devSVG.o -lpng -lz installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-svglite/00new/svglite/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (svglite) * installing *source* package 'tibble' ... ** this is package 'tibble' version '3.3.1' ** package 'tibble' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attributes.c -o attributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coerce.c -o coerce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matrixToDataFrame.c -o matrixToDataFrame.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tibble.so attributes.o coerce.o init.o matrixToDataFrame.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-tibble/00new/tibble/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tibble) * installing *source* package 'miniUI' ... ** this is package 'miniUI' version '0.1.2' ** package 'miniUI' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (miniUI) * installing *source* package 'htmlwidgets' ... ** this is package 'htmlwidgets' version '1.6.4' ** package 'htmlwidgets' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (htmlwidgets) * installing *source* package 'vroom' ... ** this is package 'vroom' version '1.7.0' ** package 'vroom' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Iconv.cpp -o Iconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LocaleInfo.cpp -o LocaleInfo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep.cc -o altrep.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c delimited_index.cc -o delimited_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c delimited_index_connection.cc -o delimited_index_connection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fixed_width_index_connection.cc -o fixed_width_index_connection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gen.cc -o gen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c grisu3.c -o grisu3.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c guess_type.cc -o guess_type.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iconv_file.cc -o iconv_file.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c index_collection.cc -o index_collection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom.cc -o vroom.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_big_int.cc -o vroom_big_int.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_chr.cc -o vroom_chr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_date.cc -o vroom_date.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_dbl.cc -o vroom_dbl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_dttm.cc -o vroom_dttm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_errors.cpp -o vroom_errors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_fct.cc -o vroom_fct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_fwf.cc -o vroom_fwf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_int.cc -o vroom_int.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_num.cc -o vroom_num.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_rle.cc -o vroom_rle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_time.cc -o vroom_time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_write.cc -o vroom_write.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o vroom.so Iconv.o LocaleInfo.o altrep.o cpp11.o delimited_index.o delimited_index_connection.o fixed_width_index_connection.o gen.o grisu3.o guess_type.o iconv_file.o index_collection.o vroom.o vroom_big_int.o vroom_chr.o vroom_date.o vroom_dbl.o vroom_dttm.o vroom_errors.o vroom_fct.o vroom_fwf.o vroom_int.o vroom_num.o vroom_rle.o vroom_time.o vroom_write.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-vroom/00new/vroom/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vroom) * installing *source* package 'jomo' ... ** this is package 'jomo' version '2.7-6' ** package 'jomo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1C.c -o jomo1C.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ranC.c -o jomo1ranC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ranhrC.c -o jomo1ranhrC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ranhrsmcC.c -o jomo1ranhrsmcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ransmcC.c -o jomo1ransmcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1smcC.c -o jomo1smcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2comC.c -o jomo2comC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2hrC.c -o jomo2hrC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2hrsmcC.c -o jomo2hrsmcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2smcC.c -o jomo2smcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo_init.c -o jomo_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pdflib.c -o pdflib.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wishart.c -o wishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o jomo.so jomo1C.o jomo1ranC.o jomo1ranhrC.o jomo1ranhrsmcC.o jomo1ransmcC.o jomo1smcC.o jomo2comC.o jomo2hrC.o jomo2hrsmcC.o jomo2smcC.o jomo_init.o pdflib.o wishart.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-jomo/00new/jomo/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jomo) * installing *source* package 'shinythemes' ... ** this is package 'shinythemes' version '1.2.0' ** package 'shinythemes' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinythemes) * installing *source* package 'sfd' ... ** this is package 'sfd' version '0.1.0' ** package 'sfd' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sfd) * installing *source* package 'ipred' ... ** this is package 'ipred' version '0.9-15' ** package 'ipred' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SdiffKM.c -o SdiffKM.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ipred.so SdiffKM.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ipred/00new/ipred/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ipred) * installing *source* package 'cellranger' ... ** this is package 'cellranger' version '1.1.0' ** package 'cellranger' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cellranger) * installing *source* package 'rematch2' ... ** this is package 'rematch2' version '2.1.2' ** package 'rematch2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rematch2) * installing *source* package 'shinyjs' ... ** this is package 'shinyjs' version '2.1.1' ** package 'shinyjs' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinyjs) * installing *source* package 'DALEX' ... ** this is package 'DALEX' version '2.5.3' ** package 'DALEX' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DALEX) * installing *source* package 'testthat' ... ** this is package 'testthat' version '3.3.2' ** package 'testthat' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-catch.cpp -o test-catch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-example.cpp -o test-example.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-runner.cpp -o test-runner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o testthat.so init.o test-catch.o test-example.o test-runner.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-testthat/00new/testthat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (testthat) * installing *source* package 'forcats' ... ** this is package 'forcats' version '1.0.1' ** package 'forcats' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (forcats) * installing *source* package 'mlr3cluster' ... ** this is package 'mlr3cluster' version '0.3.0' ** package 'mlr3cluster' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3cluster) * installing *source* package 'mlr3filters' ... ** this is package 'mlr3filters' version '0.9.0' ** package 'mlr3filters' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3filters) * installing *source* package 'mlr3fselect' ... ** this is package 'mlr3fselect' version '1.5.0' ** package 'mlr3fselect' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3fselect) * installing *source* package 'mlr3inferr' ... ** this is package 'mlr3inferr' version '0.2.1' ** package 'mlr3inferr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3inferr) * installing *source* package 'mlr3learners' ... ** this is package 'mlr3learners' version '0.14.0' ** package 'mlr3learners' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ranger_var.c -o ranger_var.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3learners.so init.o ranger_var.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mlr3learners/00new/mlr3learners/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3learners) * installing *source* package 'mlr3pipelines' ... ** this is package 'mlr3pipelines' version '0.11.0' ** package 'mlr3pipelines' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3pipelines) * installing *source* package 'mlr3tuning' ... ** this is package 'mlr3tuning' version '1.5.1' ** package 'mlr3tuning' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3tuning) * installing *source* package 'mlr3viz' ... ** this is package 'mlr3viz' version '0.11.0' ** package 'mlr3viz' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3viz) * installing *source* package 'hardhat' ... ** this is package 'hardhat' version '1.4.2' ** package 'hardhat' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hardhat) * installing *source* package 'butcher' ... ** this is package 'butcher' version '0.4.0' ** package 'butcher' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (butcher) * installing *source* package 'msm' ... ** this is package 'msm' version '1.8.2' ** package 'msm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c analyticp.c -o analyticp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hmm.c -o hmm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hmmderiv.c -o hmmderiv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lik.c -o lik.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c msm-init.c -o msm-init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pijt.c -o pijt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o msm.so analyticp.o hmm.o hmmderiv.o lik.o msm-init.o pijt.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-msm/00new/msm/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (msm) * installing *source* package 'googledrive' ... ** this is package 'googledrive' version '2.1.2' ** package 'googledrive' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (googledrive) * installing *source* package 'reprex' ... ** this is package 'reprex' version '2.1.1' ** package 'reprex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reprex) * installing *source* package 'rvest' ... ** this is package 'rvest' version '1.0.5' ** package 'rvest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rvest) * installing *source* package 'modelenv' ... ** this is package 'modelenv' version '0.2.0' ** package 'modelenv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelenv) * installing *source* package 'bench' ... ** this is package 'bench' version '1.1.4' ** package 'bench' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c load.c -o load.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mark.c -o mark.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nanotime.c -o nanotime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c process_memory.c -o process_memory.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bench.so load.o mark.o nanotime.o process_memory.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-bench/00new/bench/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bench) * installing *source* package 'causaldata' ... ** this is package 'causaldata' version '0.1.4' ** package 'causaldata' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (causaldata) * installing *source* package 'dplyr' ... ** this is package 'dplyr' version '1.2.0' ** package 'dplyr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chop.cpp -o chop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c filter.cpp -o filter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c funs.cpp -o funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group_by.cpp -o group_by.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group_data.cpp -o group_data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c imports.cpp -o imports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mask.cpp -o mask.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mutate.cpp -o mutate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reconstruct.cpp -o reconstruct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice.cpp -o slice.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summarise.cpp -o summarise.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o dplyr.so chop.o filter.o funs.o group_by.o group_data.o imports.o init.o mask.o mutate.o reconstruct.o slice.o summarise.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-dplyr/00new/dplyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dplyr) * installing *source* package 'equivalence' ... ** this is package 'equivalence' version '0.8.2' ** package 'equivalence' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c equivalence_init.c -o equivalence_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumU.c -o sumU.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumW.c -o sumW.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumXXY.c -o sumXXY.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumXYY.c -o sumXYY.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumq.c -o sumq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o equivalence.so equivalence_init.o sumU.o sumW.o sumXXY.o sumXYY.o sumq.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-equivalence/00new/equivalence/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (equivalence) * installing *source* package 'ggdist' ... ** this is package 'ggdist' version '3.3.3' ** package 'ggdist' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binning_methods.cpp -o binning_methods.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ggdist.so RcppExports.o binning_methods.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-ggdist/00new/ggdist/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggdist) * installing *source* package 'kableExtra' ... ** this is package 'kableExtra' version '1.4.0' ** package 'kableExtra' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kableExtra) * installing *source* package 'nycflights13' ... ** this is package 'nycflights13' version '1.0.2' ** package 'nycflights13' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nycflights13) * installing *source* package 'pkgdown' ... ** this is package 'pkgdown' version '2.2.0' ** package 'pkgdown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgdown) * installing *source* package 'posterior' ... ** this is package 'posterior' version '1.6.1' ** package 'posterior' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (posterior) * installing *source* package 'quarto' ... ** this is package 'quarto' version '1.5.1' ** package 'quarto' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quarto) * installing *source* package 'colourpicker' ... ** this is package 'colourpicker' version '1.3.0' ** package 'colourpicker' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (colourpicker) * installing *source* package 'dygraphs' ... ** this is package 'dygraphs' version '1.1.1.6' ** package 'dygraphs' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dygraphs) * installing *source* package 'threejs' ... ** this is package 'threejs' version '0.3.4' ** package 'threejs' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'vertices' from package 'igraph' in package 'threejs' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (threejs) * installing *source* package 'loo' ... ** this is package 'loo' version '2.9.0' ** package 'loo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (loo) * installing *source* package 'DT' ... ** this is package 'DT' version '0.34.0' ** package 'DT' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DT) * installing *source* package 'readr' ... ** this is package 'readr' version '2.2.0' ** package 'readr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Collector.cpp -o Collector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CollectorGuess.cpp -o CollectorGuess.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Iconv.cpp -o Iconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LocaleInfo.cpp -o LocaleInfo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Reader.cpp -o Reader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Source.cpp -o Source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Tokenizer.cpp -o Tokenizer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TokenizerDelim.cpp -o TokenizerDelim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TokenizerFwf.cpp -o TokenizerFwf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TokenizerWs.cpp -o TokenizerWs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c connection.cpp -o connection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c datetime.cpp -o datetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c grisu3.c -o grisu3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.cpp -o parse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.cpp -o read.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type_convert.cpp -o type_convert.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.cpp -o write.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_delim.cpp -o write_delim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o readr.so Collector.o CollectorGuess.o Iconv.o LocaleInfo.o Reader.o Source.o Tokenizer.o TokenizerDelim.o TokenizerFwf.o TokenizerWs.o connection.o cpp11.o datetime.o grisu3.o init.o parse.o read.o type_convert.o write.o write_delim.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-readr/00new/readr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readr) * installing *source* package 'mlr3hyperband' ... ** this is package 'mlr3hyperband' version '1.0.0' ** package 'mlr3hyperband' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3hyperband) * installing *source* package 'mlr3mbo' ... ** this is package 'mlr3mbo' version '1.0.0' ** package 'mlr3mbo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c avl.c -o avl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hv.c -o hv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c infill.c -o infill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3mbo.so avl.o hv.o infill.o init.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mlr3mbo/00new/mlr3mbo/libs ** R ** preparing package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3mbo) * installing *source* package 'mlr3tuningspaces' ... ** this is package 'mlr3tuningspaces' version '0.6.0' ** package 'mlr3tuningspaces' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3tuningspaces) * installing *source* package 'yardstick' ... ** this is package 'yardstick' version '1.3.2' ** package 'yardstick' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mcc-multiclass.c -o mcc-multiclass.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o yardstick.so init.o mcc-multiclass.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-yardstick/00new/yardstick/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yardstick) * installing *source* package 'htmlTable' ... ** this is package 'htmlTable' version '2.4.3' ** package 'htmlTable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (htmlTable) * installing *source* package 'dials' ... ** this is package 'dials' version '1.4.2' ** package 'dials' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dials) * installing *source* package 'modeldata' ... ** this is package 'modeldata' version '1.5.1' ** package 'modeldata' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modeldata) * installing *source* package 'tailor' ... ** this is package 'tailor' version '0.1.0' ** package 'tailor' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tailor) * installing *source* package 'dtplyr' ... ** this is package 'dtplyr' version '1.3.3' ** package 'dtplyr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dtplyr) * installing *source* package 'googlesheets4' ... ** this is package 'googlesheets4' version '1.1.2' ** package 'googlesheets4' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (googlesheets4) * installing *source* package 'readxl' ... ** this is package 'readxl' version '1.4.5' ** package 'readxl' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c XlsWorkBook.cpp -o XlsWorkBook.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c XlsxWorkBook.cpp -o XlsxWorkBook.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zip.cpp -o zip.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Read.cpp -o Read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cran.c -o cran.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/xlstool.c -o libxls/xlstool.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/endian.c -o libxls/endian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/ole.c -o libxls/ole.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/xls.c -o libxls/xls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/locale.c -o libxls/locale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o readxl.so cpp11.o XlsWorkBook.o XlsxWorkBook.o zip.o Read.o cran.o libxls/xlstool.o libxls/endian.o libxls/ole.o libxls/xls.o libxls/locale.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-readxl/00new/readxl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readxl) * installing *source* package 'DALEXtra' ... ** this is package 'DALEXtra' version '2.3.1' ** package 'DALEXtra' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DALEXtra) * installing *source* package 'fmeffects' ... ** this is package 'fmeffects' version '0.1.4' ** package 'fmeffects' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fmeffects) * installing *source* package 'optmatch' ... ** this is package 'optmatch' version '0.10.8' ** package 'optmatch' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cuseful.cc -o cuseful.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances.cc -o distances.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ism.cc -o ism.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optmatch_init.c -o optmatch_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_smahal.cc -o r_smahal.o In file included from /tmp/th798/27261227/R-devel/841/library/Rcpp/include/RcppCommon.h:29, from /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp.h:27, from r_smahal.cc:4: /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/r/check_r_headers.h:27:21: note: '#pragma message: R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410' 27 | #pragma message "R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410" | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c smahal.cc -o smahal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subsetInfSparseMatrix.cc -o subsetInfSparseMatrix.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o optmatch.so RcppExports.o cuseful.o distances.o ism.o optmatch_init.o r_smahal.o smahal.o subsetInfSparseMatrix.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-optmatch/00new/optmatch/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (optmatch) * installing *source* package 'Rchoice' ... ** this is package 'Rchoice' version '0.3-6' ** package 'Rchoice' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rchoice) * installing *source* package 'tidyr' ... ** this is package 'tidyr' version '1.3.2' ** package 'tidyr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c melt.cpp -o melt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c simplifyPieces.cpp -o simplifyPieces.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tidyr.so cpp11.o melt.o simplifyPieces.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-tidyr/00new/tidyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyr) * installing *source* package 'altdoc' ... ** this is package 'altdoc' version '0.7.2' ** package 'altdoc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (altdoc) * installing *source* package 'rstan' ... ** this is package 'rstan' version '2.32.7' ** package 'rstan' successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++17 using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chains.cpp -o chains.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/append_return_type.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta.hpp:72, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/core.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim.hpp:10, from chains.cpp:19: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/include/make_fused.hpp:11, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/resize.hpp:30, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint.hpp:25, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor.hpp:16, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim.hpp:15: /tmp/th798/27261227/R-devel/841/library/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:76, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:7, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta.hpp:79: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:50: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:20: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:33: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:36: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:54: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:23: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:63: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:128:23: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:134:30: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:144:28: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:144:31: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/FFT:243:20: required from 'void Eigen::FFT::fwd(Eigen::MatrixBase&, const Eigen::MatrixBase&, Index) [with InputDerived = Eigen::Matrix; ComplexDerived = Eigen::Matrix, -1, 1>; T_Scalar = double; T_Impl = Eigen::default_fft_impl; Index = long int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:132:10: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:88:18: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/mean.hpp:25:74: required from 'stan::math::mean >(const std::vector&):: [with auto:229 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:158:45: required from 'static auto stan::math::apply_vector_unary::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = std::vector]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/mean.hpp:24:39: required from 'stan::return_type_t stan::math::mean(const T&) [with T = std::vector; stan::require_container_t* = 0; stan::return_type_t = double]' chains.cpp:347:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:60: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:128:27: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/FFT:245:15: required from 'void Eigen::FFT::fwd(Eigen::MatrixBase&, const Eigen::MatrixBase&, Index) [with InputDerived = Eigen::Matrix; ComplexDerived = Eigen::Matrix, -1, 1>; T_Scalar = double; T_Impl = Eigen::default_fft_impl; Index = long int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:132:10: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/FFT:243:40: required from 'void Eigen::FFT::fwd(Eigen::MatrixBase&, const Eigen::MatrixBase&, Index) [with InputDerived = Eigen::Matrix; ComplexDerived = Eigen::Matrix, -1, 1>; T_Scalar = double; T_Impl = Eigen::default_fft_impl; Index = long int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:132:10: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:309:73: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:310:84: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:370:17: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pointer-tools.cpp -o pointer-tools.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stan_fit_rccp.cpp -o stan_fit_rccp.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from ../inst/include/rstan_next/stan_fit_base.hpp:5, from stan_fit_rccp.cpp:1: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' stan_fit_rccp.cpp:57:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' stan_fit_rccp.cpp:57:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' stan_fit_rccp.cpp:57:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stan_fit_base.cpp -o stan_fit_base.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from ../inst/include/rstan_next/stan_fit_base.hpp:5, from stan_fit_base.cpp:1: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Module.cpp -o Module.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/append_return_type.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta.hpp:72, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/accumulate_adjoints.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/model/model_base.hpp:5, from Module.cpp:2: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from init.cpp:25: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.cpp -o version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc.cpp -o misc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse_extractors.cpp -o sparse_extractors.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/append_return_type.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta.hpp:72, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/core.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim.hpp:10, from sparse_extractors.cpp:2: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/include/make_fused.hpp:11, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/resize.hpp:30, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint.hpp:25, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor.hpp:16, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim.hpp:15: /tmp/th798/27261227/R-devel/841/library/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:76, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:7, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta.hpp:79: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' sparse_extractors.cpp:9:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' sparse_extractors.cpp:9:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_extractors.cpp:9:65: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:50: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:88:18: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from 'Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 1; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_extractors.cpp:9:65: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:309:73: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:310:84: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:370:17: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rstan.so chains.o pointer-tools.o stan_fit_rccp.o stan_fit_base.o Module.o init.o version.o misc.o sparse_extractors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-devel/841/library/BH/include' -I'/tmp/th798/27261227/R-devel/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stan_fit.cpp -o stan_fit.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from ../inst/include/rstan_next/stan_fit_base.hpp:5, from ../inst/include/rstan_next/stan_fit.hpp:5, from stan_fit.cpp:1: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:17, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/shared_ptr.hpp:17, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/date_time/time_clock.hpp:17, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from stan_fit.cpp:14: /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/detail/shared_count.hpp:294:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 294 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:76, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:7, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta.hpp:79, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/accumulate_adjoints.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core.hpp:4, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/model/model_base.hpp:5, from ../inst/include/rstan_next/stan_fit.hpp:7: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 354 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 365 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 423 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 430 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': /tmp/th798/27261227/R-devel/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 432 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:268 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:268 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:12 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/fusion/include/make_fused.hpp:11, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/resize.hpp:30, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /tmp/th798/27261227/R-devel/841/library/BH/include/boost/numeric/odeint.hpp:25, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor.hpp:16, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim.hpp:15, from /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/io/dump.hpp:7, from stan_fit.cpp:42: /tmp/th798/27261227/R-devel/841/library/BH/include/boost/get_pointer.hpp: At global scope: /tmp/th798/27261227/R-devel/841/library/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::EigenBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8: required from 'struct stan::is_eigen >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:301:19: required by substitution of 'template class stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type> [with T = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:129:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:814:9: required from 'class stan::math::vari_value, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:419:57: required from 'const auto& stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::val() const [with T = Eigen::SparseMatrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:196 = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:196 = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:12 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl > >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block > >, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase > >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block > >, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock > >, -1, 1, true>, -1>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:18 = const Eigen::Matrix, -1, 1>]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_dense_base_t* = 0; stan::require_not_st_arithmetic* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:40 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:196 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = stan::model::model_base; Eigen::MatrixXd = Eigen::Matrix]' stan_fit.cpp:1185:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: required from 'void stan::variational::normal_meanfield::calc_grad(stan::variational::normal_meanfield&, M&, Eigen::VectorXd&, int, BaseRNG&, stan::callbacks::logger&) const [with M = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::VectorXd = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/advi.hpp:149:26: required from 'void stan::variational::advi::calc_ELBO_grad(const Q&, Q&, stan::callbacks::logger&) const [with Model = stan::model::model_base; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = stan::model::model_base; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = stan::model::model_base; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:893:18: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = stan::model::model_base; Eigen::MatrixXd = Eigen::Matrix]' stan_fit.cpp:1185:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = stan::model::model_base; Eigen::MatrixXd = Eigen::Matrix]' stan_fit.cpp:1185:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:42:19: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::add]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:323:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:42:19: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::Map >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::Map >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::TriangularView >, 1>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::TriangularView >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::TriangularView >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-devel/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ar -rs ../inst/lib//libStanServices.a stan_fit.o stan_fit_base.o ar: creating ../inst/lib//libStanServices.a installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rstan/00new/rstan/libs ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstan) * installing *source* package 'bayesplot' ... ** this is package 'bayesplot' version '1.15.0' ** package 'bayesplot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bayesplot) * installing *source* package 'Hmisc' ... ** this is package 'Hmisc' version '5.2-5' ** package 'Hmisc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Hmisc.c -o Hmisc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cidxcn.f90 -o cidxcn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cidxcp.f90 -o cidxcp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cutgn.f90 -o cutgn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hlqest.f90 -o hlqest.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hoeffd.f90 -o hoeffd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c jacklins.f90 -o jacklins.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c largrec.f -o largrec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mChoice.c -o mChoice.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c maxempr.f90 -o maxempr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nstr.c -o nstr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ranksort.c -o ranksort.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rcorr.f90 -o rcorr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_box.c -o string_box.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c wclosest.f90 -o wclosest.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Hmisc.so Hmisc.o cidxcn.o cidxcp.o cutgn.o hlqest.o hoeffd.o init.o jacklins.o largrec.o mChoice.o maxempr.o nstr.o ranksort.o rcorr.o string_box.o wclosest.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-Hmisc/00new/Hmisc/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Hmisc) * installing *source* package 'recipes' ... ** this is package 'recipes' version '1.3.1' ** package 'recipes' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (recipes) * installing *source* package 'dbplyr' ... ** this is package 'dbplyr' version '2.5.2' ** package 'dbplyr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dbplyr) * installing *source* package 'broom' ... ** this is package 'broom' version '1.0.12' ** package 'broom' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (broom) * installing *source* package 'cjoint' ... ** this is package 'cjoint' version '2.1.1' ** package 'cjoint' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cjoint) * installing *source* package 'flexsurv' ... ** this is package 'flexsurv' version '2.3.2' ** package 'flexsurv' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flexsurv-init.c -o flexsurv-init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c genf.cpp -o genf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gengamma.cpp -o gengamma.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gompertz.cpp -o gompertz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c llogis.cpp -o llogis.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c special.cpp -o special.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c splines.cpp -o splines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o flexsurv.so RcppExports.o flexsurv-init.o genf.o gengamma.o gompertz.o llogis.o special.o splines.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-flexsurv/00new/flexsurv/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (flexsurv) * installing *source* package 'haven' ... ** this is package 'haven' version '2.5.5' ** package 'haven' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lz ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tagged_na.c -o tagged_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_parser.c -o readstat/readstat_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_metadata.c -o readstat/readstat_metadata.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_io_unistd.c -o readstat/readstat_io_unistd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_bits.c -o readstat/readstat_bits.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_variable.c -o readstat/readstat_variable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_writer.c -o readstat/readstat_writer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_error.c -o readstat/readstat_error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_convert.c -o readstat/readstat_convert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/CKHashTable.c -o readstat/CKHashTable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_malloc.c -o readstat/readstat_malloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_value.c -o readstat/readstat_value.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport_write.c -o readstat/sas/readstat_xport_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bcat_read.c -o readstat/sas/readstat_sas7bcat_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bdat_write.c -o readstat/sas/readstat_sas7bdat_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bcat_write.c -o readstat/sas/readstat_sas7bcat_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/ieee.c -o readstat/sas/ieee.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport_parse_format.c -o readstat/sas/readstat_xport_parse_format.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport_read.c -o readstat/sas/readstat_xport_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas.c -o readstat/sas/readstat_sas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas_rle.c -o readstat/sas/readstat_sas_rle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport.c -o readstat/sas/readstat_xport.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bdat_read.c -o readstat/sas/readstat_sas7bdat_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_compress.c -o readstat/spss/readstat_sav_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_spss_parse.c -o readstat/spss/readstat_spss_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_read.c -o readstat/spss/readstat_sav_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por_read.c -o readstat/spss/readstat_por_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav.c -o readstat/spss/readstat_sav.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_zsav_compress.c -o readstat/spss/readstat_zsav_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_parse_timestamp.c -o readstat/spss/readstat_sav_parse_timestamp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_zsav_read.c -o readstat/spss/readstat_zsav_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_write.c -o readstat/spss/readstat_sav_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_spss.c -o readstat/spss/readstat_spss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_parse_mr_name.c -o readstat/spss/readstat_sav_parse_mr_name.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por.c -o readstat/spss/readstat_por.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por_write.c -o readstat/spss/readstat_por_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_zsav_write.c -o readstat/spss/readstat_zsav_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_parse.c -o readstat/spss/readstat_sav_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por_parse.c -o readstat/spss/readstat_por_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta_read.c -o readstat/stata/readstat_dta_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta.c -o readstat/stata/readstat_dta.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta_parse_timestamp.c -o readstat/stata/readstat_dta_parse_timestamp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta_write.c -o readstat/stata/readstat_dta_write.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DfReader.cpp -o DfReader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DfWriter.cpp -o DfWriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c haven_types.cpp -o haven_types.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o haven.so tagged_na.o readstat/readstat_parser.o readstat/readstat_metadata.o readstat/readstat_io_unistd.o readstat/readstat_bits.o readstat/readstat_variable.o readstat/readstat_writer.o readstat/readstat_error.o readstat/readstat_convert.o readstat/CKHashTable.o readstat/readstat_malloc.o readstat/readstat_value.o readstat/sas/readstat_xport_write.o readstat/sas/readstat_sas7bcat_read.o readstat/sas/readstat_sas7bdat_write.o readstat/sas/readstat_sas7bcat_write.o readstat/sas/ieee.o readstat/sas/readstat_xport_parse_format.o readstat/sas/readstat_xport_read.o readstat/sas/readstat_sas.o readstat/sas/readstat_sas_rle.o readstat/sas/readstat_xport.o readstat/sas/readstat_sas7bdat_read.o readstat/spss/readstat_sav_compress.o readstat/spss/readstat_spss_parse.o readstat/spss/readstat_sav_read.o readstat/spss/readstat_por_read.o readstat/spss/readstat_sav.o readstat/spss/readstat_zsav_compress.o readstat/spss/readstat_sav_parse_timestamp.o readstat/spss/readstat_zsav_read.o readstat/spss/readstat_sav_write.o readstat/spss/readstat_spss.o readstat/spss/readstat_sav_parse_mr_name.o readstat/spss/readstat_por.o readstat/spss/readstat_por_write.o readstat/spss/readstat_zsav_write.o readstat/spss/readstat_sav_parse.o readstat/spss/readstat_por_parse.o readstat/stata/readstat_dta_read.o readstat/stata/readstat_dta.o readstat/stata/readstat_dta_parse_timestamp.o readstat/stata/readstat_dta_write.o DfReader.o cpp11.o DfWriter.o haven_types.o -L/home/th798/.conda/envs/emacs1/lib -lz installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-haven/00new/haven/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (haven) * installing *source* package 'mlr3verse' ... ** this is package 'mlr3verse' version '0.3.1' ** package 'mlr3verse' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3verse) * installing *source* package 'parsnip' ... ** this is package 'parsnip' version '1.4.1' ** package 'parsnip' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parsnip) * installing *source* package 'rsample' ... ** this is package 'rsample' version '1.3.2' ** package 'rsample' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rsample) * installing *source* package 'mitml' ... ** this is package 'mitml' version '0.4-5' ** package 'mitml' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mitml) * installing *source* package 'shinystan' ... ** this is package 'shinystan' version '2.7.0' ** package 'shinystan' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinystan) * installing *source* package 'infer' ... ** this is package 'infer' version '1.1.0' ** package 'infer' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (infer) * installing *source* package 'modelr' ... ** this is package 'modelr' version '0.1.11' ** package 'modelr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelr) * installing *source* package 'brms' ... ** this is package 'brms' version '2.23.0' ** package 'brms' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brms) * installing *source* package 'geepack' ... ** this is package 'geepack' version '1.3.13' ** package 'geepack' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c famstr.cc -o famstr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gee2.cc -o gee2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c geesubs.cc -o geesubs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inter.cc -o inter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ordgee.cc -o ordgee.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c param.cc -o param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cc -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o geepack.so famstr.o gee2.o geesubs.o init.o inter.o ordgee.o param.o utils.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-geepack/00new/geepack/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geepack) * installing *source* package 'glmtoolbox' ... ** this is package 'glmtoolbox' version '0.1.12' ** package 'glmtoolbox' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmtoolbox) * installing *source* package 'rms' ... ** this is package 'rms' version '8.1-1' ** package 'rms' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lrmll.f90 -o lrmll.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mlmats.f -o mlmats.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ormll.f90 -o ormll.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c robcovf.f90 -o robcovf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rms.so init.o lrmll.o mlmats.o ormll.o robcovf.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-rms/00new/rms/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rms) * installing *source* package 'workflows' ... ** this is package 'workflows' version '1.3.0' ** package 'workflows' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (workflows) * installing *source* package 'doBy' ... ** this is package 'doBy' version '4.7.1' ** package 'doBy' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context Note: ... may be used in an incorrect context ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (doBy) * installing *source* package 'tune' ... ** this is package 'tune' version '2.0.1' ** package 'tune' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tune) * installing *source* package 'brmsmargins' ... ** this is package 'brmsmargins' version '0.2.1' ** package 'brmsmargins' successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++17 using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integratemvn.cpp -o integratemvn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integratere.cpp -o integratere.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lmcpp.cpp -o lmcpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowbootmeans.cpp -o rowbootmeans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tab2mat.cpp -o tab2mat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brmsmargins.so RcppExports.o integratemvn.o integratere.o lmcpp.o rowbootmeans.o tab2mat.o -fopenmp -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-brmsmargins/00new/brmsmargins/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brmsmargins) * installing *source* package 'mice' ... ** this is package 'mice' version '3.19.0' ** package 'mice' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c legendre.cpp -o legendre.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match.cpp -o match.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/cpp11/include' -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matchindex.cpp -o matchindex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mice.so RcppExports.o legendre.o match.o matchindex.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mice/00new/mice/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mice) * installing *source* package 'mvgam' ... ** this is package 'mvgam' version '1.1.594' ** package 'mvgam' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trend_funs.cpp -o trend_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mvgam.so RcppExports.o trend_funs.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-mvgam/00new/mvgam/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvgam) * installing *source* package 'ordbetareg' ... ** this is package 'ordbetareg' version '0.8' ** package 'ordbetareg' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ordbetareg) * installing *source* package 'rstanarm' ... ** this is package 'rstanarm' version '2.32.2' ** package 'rstanarm' successfully unpacked and MD5 sums checked ** using staged installation Error in rstan::stanc(file_name, allow_undefined = TRUE, obfuscate_model_name = FALSE, : parser failed badly; maybe try installing the V8 package Calls: -> sapply -> lapply -> FUN -> Execution halted ERROR: configuration failed for package 'rstanarm' * removing '/tmp/th798/27261227/R-devel/841/library/rstanarm' * installing *source* package 'tidyverse' ... ** this is package 'tidyverse' version '2.0.0' ** package 'tidyverse' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyverse) * installing *source* package 'pbkrtest' ... ** this is package 'pbkrtest' version '0.5.5' ** package 'pbkrtest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbkrtest) * installing *source* package 'workflowsets' ... ** this is package 'workflowsets' version '1.1.1' ** package 'workflowsets' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (workflowsets) * installing *source* package 'logistf' ... ** this is package 'logistf' version '1.26.1' ** package 'logistf' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logistf.c -o logistf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o logistf.so init.o logistf.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-logistf/00new/logistf/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (logistf) * installing *source* package 'miceadds' ... ** this is package 'miceadds' version '3.18-36' ** package 'miceadds' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_create_interactions.cpp -o miceadds_rcpp_create_interactions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_kernelpls_1dim.cpp -o miceadds_rcpp_kernelpls_1dim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_ml_mcmc_sampler.cpp -o miceadds_rcpp_ml_mcmc_sampler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_ml_mcmc_sub.cpp -o miceadds_rcpp_ml_mcmc_sub.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_pmm6.cpp -o miceadds_rcpp_pmm6.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_scale.cpp -o miceadds_rcpp_scale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_weighted_cor.cpp -o miceadds_rcpp_weighted_cor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_weighted_pmm.cpp -o miceadds_rcpp_weighted_pmm.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o miceadds.so RcppExports.o miceadds_rcpp_create_interactions.o miceadds_rcpp_kernelpls_1dim.o miceadds_rcpp_ml_mcmc_sampler.o miceadds_rcpp_ml_mcmc_sub.o miceadds_rcpp_pmm6.o miceadds_rcpp_scale.o miceadds_rcpp_weighted_cor.o miceadds_rcpp_weighted_pmm.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-miceadds/00new/miceadds/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (miceadds) * installing *source* package 'probably' ... ** this is package 'probably' version '1.2.0' ** package 'probably' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (probably) * installing *source* package 'car' ... ** this is package 'car' version '3.1-5' ** package 'car' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (car) * installing *source* package 'glmmTMB' ... ** this is package 'glmmTMB' version '1.1.14' ** package 'glmmTMB' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/tmp/th798/27261227/R-devel/841/library/TMB/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glmmTMB.cpp -o glmmTMB.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/TMB/include/TMB.hpp:92, from glmmTMB.cpp:13: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:97:69: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:107:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:107:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:108:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Map >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:109:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:111:48: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:65: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:17:8: required from 'struct tmbutils::vector' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vectorize.hpp:54:35: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-devel/841/library/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:554:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:22:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:22:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/TMB/include/TMB.hpp:96: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/simplicial_inverse_subset.hpp:7:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:42:26: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:42:56: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:42:64: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:42:70: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:644:38: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 2, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 2>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:644:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:655:34: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:655:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:659:49: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:659:54: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:664:21: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:664:59: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:672:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:680:31: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:680:33: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:699:17: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1226:26: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' distrib.h:40:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' distrib.h:40:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' glmmTMB.cpp:912:28: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' glmmTMB.cpp:1221:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' glmmTMB.cpp:1325:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' glmmTMB.cpp:1338:17: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/start_parallel.hpp:375:43: required from 'Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2675:28: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::MatrixWrapper >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/convenience.hpp:49:13: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/convenience.hpp:49:32: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:30:21: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:30:27: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:31:47: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:18:23: required from 'atomic::Block atomic::Block::scale(Type) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:242:29: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:25:29: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:36:36: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:55: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:26: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:71: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from 'struct Eigen::internal::evaluator, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:42:76: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase > >::CastXpr' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/convert.hpp:114:35: required from 'tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]' glmmTMB.cpp:841:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/array.hpp:22:8: required from 'struct tmbutils::array' glmmTMB.cpp:819:17: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::MatrixWrapper >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' cordistrib.h:39:34: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>' cordistrib.h:39:60: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' cordistrib.h:39:66: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:603:56: required from 'void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]' glmmTMB.cpp:1376:4: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:45: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:31: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' glmmTMB.cpp:428:25: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' glmmTMB.cpp:487:48: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' glmmTMB.cpp:487:37: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >' glmmTMB.cpp:487:31: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' glmmTMB.cpp:691:23: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' glmmTMB.cpp:748:45: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' glmmTMB.cpp:758:28: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' glmmTMB.cpp:759:52: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' glmmTMB.cpp:760:76: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 0>' glmmTMB.cpp:760:48: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >' glmmTMB.cpp:760:85: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmmTMB.cpp:769:34: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmmTMB.cpp:769:27: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/start_parallel.hpp:374:16: required from 'Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2675:28: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:24:20: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' glmmTMB.cpp:834:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:10:7: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:10:13: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:11:48: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:11:37: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:21:17: required from 'Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1332:64: required from 'Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1555:25: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' glmmTMB.cpp:834:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:146:21: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/array.hpp:302:3: required from 'tmbutils::array tmbutils::array::operator/(T) [with T = tmbutils::vector; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:1030:23: required from 'density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(arraytype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; arraytype = tmbutils::array]' glmmTMB.cpp:416:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double; Eigen::Index = long int]' glmmTMB.cpp:452:37: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/array.hpp:302:3: required from 'tmbutils::array tmbutils::array::operator/(T) [with T = double; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:970:23: required from 'density::SCALE_t::scalartype density::SCALE_t::operator()(arraytype) [with distribution = density::MVNORM_t; scalartype = double; arraytype = tmbutils::array]' glmmTMB.cpp:686:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from 'Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:21:17: required from 'Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1332:64: required from 'Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1555:25: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' distrib.h:300:66: required from 'Type glmmtmb::rtweedie(Type, Type, Type) [with Type = double]' glmmTMB.cpp:1135:38: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, member_sum, 1> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from 'Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1351:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from 'void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from 'Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1351:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_log_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:148:28: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from 'void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from 'void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from 'Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:153:37: required from 'density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:157:53: required from 'density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:1030:21: required from 'density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(arraytype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; arraytype = tmbutils::array]' glmmTMB.cpp:416:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; Type = double]' glmmTMB.cpp:748:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:527:1: required from 'CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:527:1: required from 'CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:146:9: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:146:9: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, const Eigen::Block > >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, const Eigen::Block > >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, const Eigen::Block > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl > >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Transpose > >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, 1, -1, true>, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, false>, Eigen::Map >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from 'void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:146:9: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:220:18: required from 'Derived& Eigen::ArrayBase::operator/=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Derived = Eigen::ArrayWrapper >]' glmmTMB.cpp:760:27: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Map >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose > >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 4>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:554:1: required from 'void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:554:1: required from 'void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' distrib.h:40:3: required from 'void glmmtmb::logspace_gammaOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1171:20: required from 'void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:497:1: required from 'CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:527:1: required from 'void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:85:17: required from 'newton::vector::vector(const std::vector&) [with Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1154:20: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:11: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:171:40: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1059:51: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:733:15: required from 'newton::vector newton::jacobian_sparse_plus_lowrank_t::solve(std::shared_ptr >, const newton::vector&, const newton::vector&) [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1171:38: required from 'void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/simplicial_inverse_subset.hpp:152:11: required from 'Eigen::SimplicialInverseSubset::SpMat Eigen::SimplicialInverseSubset::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1293:18: required from 'void newton::LogDetOperator::reverse(TMBad::ReverseArgs&) [with Factorization = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::LogDetOperator<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:277:22: required from 'newton::matrix newton::jacobian_dense_t::llt_solve(const newton::matrix&, const newton::matrix&) [with Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:628:38: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:629:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:629:36: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 2> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 2> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:644:46: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:645:26: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:656:32: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:664:57: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Inverse >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Inverse >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:674:40: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, const Eigen::Inverse >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse, const Eigen::Inverse >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:674:51: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:675:67: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:676:57: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:38: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:56: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:72: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:50: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:34: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:629:36: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:549:37: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:549:40: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:549:66: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:550:36: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 4>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' distrib.h:40:3: required from 'void glmmtmb::logspace_gammaOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' distrib.h:40:3: required from 'void glmmtmb::logspace_gammaOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1037:36: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Matrix > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, 1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:497:1: required from 'CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:527:1: required from 'void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:497:1: required from 'CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/atomic_math.hpp:527:1: required from 'void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:78:1: required from 'void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:78:1: required from 'void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:263:57: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:263:35: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:263:67: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:78:1: required from 'void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:15, from /tmp/th798/27261227/R-devel/841/library/TMB/include/TMB.hpp:219: /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/tiny_ad/tiny_ad.hpp: In instantiation of 'bool atomic::tiny_ad::operator==(const double&, const ad&) [with T = double; V = atomic::tiny_vec]': /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/tiny_ad/tiny_ad.hpp:69:5: required from 'bool atomic::tiny_ad::ad::operator==(const other&) const [with other = atomic::tiny_ad::variable<1, 1>; Type = double; Vector = atomic::tiny_vec]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky_impl.h:150:12: required from 'void Eigen::SimplicialCholeskyBase::factorize_preordered(const CholMatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 0, int>, 1, Eigen::AMDOrdering >; CholMatrixType = Eigen::SparseMatrix, 0, int>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:232:35: required from 'void Eigen::SimplicialCholeskyBase::factorize(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 0, int>, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix, 0, int>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:397:38: required from 'void Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix, 0, int>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/simplicial_inverse_subset.hpp:148:22: required from 'Eigen::SimplicialInverseSubset::SpMat Eigen::SimplicialInverseSubset::operator()(SpMat) [with T = atomic::tiny_ad::variable<1, 1>; SpMat = Eigen::SparseMatrix, 0, int>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:1234:20: required from 'void newton::InvSubOperator::reverse(TMBad::ReverseArgs&) [with Factorization = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::InvSubOperator > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/tiny_ad/tiny_ad.hpp:217:31: warning: in C++20 this comparison calls the current function recursively with reversed arguments 217 | COMPARISON_OPERATOR_FLIP(==,==) | ^ /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/tiny_ad/tiny_ad.hpp:211:14: note: in definition of macro 'COMPARISON_OPERATOR_FLIP' 211 | return y OP2 x; \ | ^~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:94:54: required from 'newton::matrix::matrix(const Eigen::ArrayBase&) [with Derived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Type = double]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:263:15: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-devel/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]' /tmp/th798/27261227/R-devel/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/tmp/th798/27261227/R-devel/841/library/TMB/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glmmTMB.so glmmTMB.o utils.o -fopenmp installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-glmmTMB/00new/glmmTMB/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmmTMB) * installing *source* package 'tidymodels' ... ** this is package 'tidymodels' version '1.4.1' ** package 'tidymodels' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidymodels) * installing *source* package 'AER' ... ** this is package 'AER' version '1.2-16' ** package 'AER' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (AER) * installing *source* package 'afex' ... ** this is package 'afex' version '1.5-1' ** package 'afex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (afex) * installing *source* package 'ivreg' ... ** this is package 'ivreg' version '0.6-7' ** package 'ivreg' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ivreg) * installing *source* package 'systemfit' ... ** this is package 'systemfit' version '1.1-30' ** package 'systemfit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (systemfit) * installing *source* package 'REndo' ... ** this is package 'REndo' version '2.4.10' ** package 'REndo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/27261227/R-devel/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-devel/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c f_copulacorrection_LL_rcpp.cpp -o f_copulacorrection_LL_rcpp.o In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigen.h:25, from f_copulacorrection_LL_rcpp.cpp:1: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:34:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:34:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:34:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:35:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:35:37: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 7>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map >, 0>' f_copulacorrection_LL_rcpp.cpp:38:43: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-devel/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-devel/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o REndo.so RcppExports.o f_copulacorrection_LL_rcpp.o installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-REndo/00new/REndo/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (REndo) * installing *source* package 'sampleSelection' ... ** this is package 'sampleSelection' version '1.2-14' ** package 'sampleSelection' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sampleSelection) Warning messages: 1: In install.packages(rev.dep, dep = TRUE) : installation of package 'interval' had non-zero exit status 2: In install.packages(rev.dep, dep = TRUE) : installation of package 'DCchoice' had non-zero exit status 3: In install.packages(rev.dep, dep = TRUE) : installation of package 'arrow' had non-zero exit status 4: In install.packages(rev.dep, dep = TRUE) : installation of package 'rstanarm' had non-zero exit status > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 8512.693 612.562 9283.938 > print(Sys.time()) [1] "2026-03-10 03:55:30 MST" > (pkg_Version.tar.gz <- paste0(rev.dep,"_", deps.row[,"Version"], ".tar.gz")) [1] "marginaleffects_0.32.0.tar.gz" > (pkg.tar.gz <- file.path(local.CRAN, "src", "contrib", pkg_Version.tar.gz)) [1] "/projects/genomic-ml/CRAN/src/contrib/marginaleffects_0.32.0.tar.gz" > (rev.dep.release.tar.gz <- normalizePath(pkg.tar.gz, mustWork=TRUE)) [1] "/projects/genomic-ml/CRAN/src/contrib/marginaleffects_0.32.0.tar.gz" > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2026-03-10 03:55:30 MST" Installing package into '/tmp/th798/27261227/R-devel/841/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.2.1' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-03-10 03:55:54 MST" * using log directory '/tmp/th798/27261227/R-devel/841/marginaleffects.Rcheck' * using R Under development (unstable) (2026-03-09 r89583) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * current time: 2026-03-10 10:55:54 UTC * checking for file 'marginaleffects/DESCRIPTION' ... OK * this is package 'marginaleffects' version '0.32.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... INFO Packages suggested but not available for checking: 'arrow', 'DCchoice', 'rstanarm' * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'marginaleffects' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed hypotheses 5.704 0.118 5.869 * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'spelling.R' Running 'tinytest.R' OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-03-10 03:57:28 MST" [1] "2026-03-10 03:57:28 MST" Installing package into '/tmp/th798/27261227/R-devel/841/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/27261227/R-devel/841/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-03-10 03:57:52 MST" * using log directory '/tmp/th798/27261227/R-devel/841/marginaleffects.Rcheck' * using R Under development (unstable) (2026-03-09 r89583) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * current time: 2026-03-10 10:57:52 UTC * checking for file 'marginaleffects/DESCRIPTION' ... OK * this is package 'marginaleffects' version '0.32.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... INFO Packages suggested but not available for checking: 'arrow', 'DCchoice', 'rstanarm' * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'marginaleffects' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed hypotheses 5.647 0.115 5.808 * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'spelling.R' Running 'tinytest.R' OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-03-10 03:59:26 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_Under_development_unstable_2026-03-09_r89583/release_1.18.2.1.Rcheck/00check.log 2026-03-10 03:57:28.507081569 -0700 +++ R_Under_development_unstable_2026-03-09_r89583/master_1.18.99.82799044ec710cafd89267042ded8b39d6ced265.Rcheck/00check.log 2026-03-10 03:59:26.459845638 -0700 @@ -6,7 +6,7 @@ GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII -* current time: 2026-03-10 10:55:54 UTC +* current time: 2026-03-10 10:57:52 UTC * checking for file 'marginaleffects/DESCRIPTION' ... OK * this is package 'marginaleffects' version '0.32.0' * package encoding: UTF-8 @@ -56,7 +56,7 @@ * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed -hypotheses 5.704 0.118 5.869 +hypotheses 5.647 0.115 5.808 * checking for unstated dependencies in 'tests' ... OK * checking tests ... OK Running 'spelling.R' > library(data.table, lib.loc=R.home("library")) Attaching package: 'data.table' The following object is masked from 'package:base': %notin% > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + unlink(dt.git, recursive=TRUE, force=TRUE) + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } > WARNING: ignoring environment value of R_HOME R version 4.5.2 (2025-10-31) -- "[Not] Part in a Rumble" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > (cargs <- commandArgs(trailingOnly=TRUE)) [1] "/scratch/th798/data.table-revdeps/2026-03-10/deps.csv" [2] "841" [3] "/scratch/th798/data.table-revdeps/2026-03-10/data.table_release_1.18.2.1.tar.gz" [4] "/scratch/th798/data.table-revdeps/2026-03-10/data.table_master_1.18.99.82799044ec710cafd89267042ded8b39d6ced265.tar.gz" > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "9", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2026-03-10/deps.csv", task.str = "841", release = "/scratch/th798/data.table-revdeps/2026-03-10/data.table_release_1.18.2.1.tar.gz", master = "/scratch/th798/data.table-revdeps/2026-03-10/data.table_master_1.18.99.82799044ec710cafd89267042ded8b39d6ced265.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/27261227/R-release/841" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache Failed with error: 'there is no package called 'R.cache'' > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (deps.row <- deps.df[task.id,]) Package task.id Version 841 marginaleffects 841 0.32.0 > (rev.dep <- deps.row$Package) [1] "marginaleffects" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/27261227/R-release/841/library" [2] "/projects/genomic-ml/R/R-release/library" > local.CRAN <- "/projects/genomic-ml/CRAN" > cran.url <- paste0("file://", local.CRAN) > #this should be in ~/.Rprofile too. > options(repos=c(CRAN=cran.url)) > print(Sys.time()) [1] "2026-03-10 03:59:32 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/27261227/R-release/841/library' (as 'lib' is unspecified) Warning: dependency 'Icens' is not available also installing the dependencies 'progressr', 'SQUAREM', 'fracdiff', 'urca', 'proxy', 'diagram', 'lava', 'Deriv', 'forecast', 'microbenchmark', 'doFuture', 'e1071', 'lmom', 'mnormt', 'pbivnorm', 'nanonext', 'PRROC', 'mclust', 'prabclus', 'diptest', 'kernlab', 'sys', 'lhs', 'miniUI', 'litedown', 'igraph', 'prodlim', 'rematch', 'doBy', 'plyr', 'bit', 'utf8', 'inline', 'QuickJSR', 'ggridges', 'Brobdingnag', 'stringi', 'labeling', 'crosstalk', 'htmlwidgets', 'promises', 'cachem', 'fastmap', 'httpuv', 'mime', 'otel', 'sourcetools', 'lazyeval', 'iBreakDown', 'ingredients', 'kernelshap', 'perm', 'MLEcens', 'rbibutils', 'gld', 'brio', 'pkgload', 'praise', 'ps', 'waldo', 'iterators', 'zigg', 'clipr', 'crayon', 'vroom', 'tzdb', 'operator.tools', 'lavaan', 'shape', 'pan', 'jomo', 'lgr', 'mirai', 'mlbench', 'mlr3measures', 'palmerpenguins', 'uuid', 'fpc', 'stabm', 'spacefillr', 'viridis', 'sass', 'fansi', 'askpass', 'lobstr', 'GPfit', 'expm', 'pracma', 'pcaPP', 'warp', 'colourpicker', 'dygraphs', 'gtools', 'markdown', 'shinythemes', 'threejs', 'xts', 'DiceDesign', 'sfd', 'clock', 'gower', 'ipred', 'timeDate', 'blob', 'gargle', 'cellranger', 'ids', 'rematch2', 'timechange', 'progress', 'selectr', 'lmtest', 'zoo', 'Rcpp', 'RcppArmadillo', 'pbkrtest', 'reshape2', 'reformulas', 'assertthat', 'bit64', 'glue', 'R6', 'tidyselect', 'vctrs', 'cpp11', 'datawizard', 'pillar', 'profmem', 'flexmix', 'modeltools', 'DBI', 'enrichwith', 'statmod', 'nleqslv', 'rstan', 'loo', 'bayesplot', 'bridgesampling', 'matrixStats', 'coda', 'abind', 'extraoperators', 'cli', 'lifecycle', 'stringr', 'scales', 'chk', 'DT', 'shiny', 'shinyjs', 'gtable', 'gridExtra', 'memoise', 'digest', 'jsonlite', 'rex', 'httr', 'scoringRules', 'DALEX', 'interval', 'maxLik', 'Rdpack', 'estimability', 'PairedData', 'RcppEigen', 'dreamerr', 'stringmagic', 'deSolve', 'mstate', 'muhaz', 'quadprog', 'ggparty', 'cowplot', 'testthat', 'fontBitstreamVera', 'fontLiberation', 'globals', 'listenv', 'parallelly', 'foreach', 'gamlss.data', 'isoband', 'S7', 'TMB', 'Rfast', 'SuppDists', 'forcats', 'hms', 'readr', 'rprojroot', 'plotfunctions', 'xml2', 'viridisLite', 'htmltools', 'minqa', 'nloptr', 'formula.tools', 'prediction', 'RcppProgress', 'memisc', 'ape', 'corpcor', 'tensorA', 'cubature', 'nonnest2', 'CompQuadForm', 'FNN', 'ranger', 'glmnet', 'mitml', 'mitools', 'mlr3', 'bbotk', 'mlr3cluster', 'mlr3data', 'mlr3filters', 'mlr3fselect', 'mlr3hyperband', 'mlr3inferr', 'mlr3learners', 'mlr3mbo', 'mlr3misc', 'mlr3pipelines', 'mlr3tuning', 'mlr3tuningspaces', 'mlr3viz', 'paradox', 'performance', 'tables', 'TH.data', 'mvnfast', 'rlemon', 'ucminf', 'hardhat', 'prettyunits', 'sparsevctrs', 'libcoin', 'inum', 'farver', 'bslib', 'callr', 'desc', 'downlit', 'fontawesome', 'fs', 'httr2', 'openssl', 'ragg', 'whisker', 'bdsmatrix', 'butcher', 'furrr', 'tune', 'yardstick', 'SparseM', 'MatrixModels', 'randomForest', 'RColorBrewer', 'miscTools', 'msm', 'plotrix', 'optimx', 'curl', 'pkgbuild', 'sessioninfo', 'xopen', 'RcppTOML', 'png', 'rappdirs', 'evaluate', 'jquerylib', 'tinytex', 'xfun', 'Hmisc', 'htmlTable', 'colorspace', 'fit.models', 'rrcov', 'DEoptimR', 'xtable', 'fastGHQuad', 'slider', 'shinystan', 'RcppParallel', 'StanHeaders', 'bbmle', 'lsoda', 'VGAM', 'commonmark', 'hunspell', 'base64enc', 'textshaping', 'pkgconfig', 'dials', 'infer', 'modeldata', 'recipes', 'tailor', 'workflowsets', 'dbplyr', 'dtplyr', 'googledrive', 'googlesheets4', 'lubridate', 'modelr', 'readxl', 'reprex', 'rvest', 'diffobj', 'magick', 'modelenv', 'highr', 'later', 'processx', 'backports', 'checkmate', 'generics', 'Formula', 'insight', 'rlang', 'AER', 'Amelia', 'afex', 'aod', 'arrow', 'bayestestR', 'bench', 'betareg', 'BH', 'bife', 'biglm', 'blme', 'brglm2', 'brms', 'brmsmargins', 'broom', 'car', 'carData', 'causaldata', 'clarify', 'cjoint', 'cobalt', 'collapse', 'conflicted', 'countrycode', 'covr', 'crch', 'DALEXtra', 'DCchoice', 'dbarts', 'DirichletReg', 'distributional', 'dfidx', 'dplyr', 'emmeans', 'equivalence', 'estimatr', 'fixest', 'flexsurv', 'fmeffects', 'fontquiver', 'future', 'future.apply', 'fwb', 'gam', 'gamlss', 'gamlss.dist', 'geepack', 'ggdist', 'ggokabeito', 'ggplot2', 'ggrepel', 'glmmTMB', 'glmtoolbox', 'glmx', 'haven', 'here', 'itsadug', 'ivreg', 'kableExtra', 'lme4', 'lmerTest', 'logistf', 'magrittr', 'margins', 'MatchIt', 'mclogit', 'MCMCglmm', 'mhurdle', 'missRanger', 'mice', 'miceadds', 'mlogit', 'mlr3verse', 'modelbased', 'modelsummary', 'multcomp', 'mvgam', 'mvtnorm', 'nanoparquet', 'numDeriv', 'nycflights13', 'optmatch', 'ordbetareg', 'ordinal', 'parameters', 'parsnip', 'partykit', 'patchwork', 'pkgdown', 'phylolm', 'pbapply', 'plm', 'polspline', 'posterior', 'probably', 'pscl', 'purrr', 'quantreg', 'quantregForest', 'Rchoice', 'REndo', 'rcmdcheck', 'Rdatasets', 'remotes', 'reticulate', 'rmarkdown', 'rms', 'robust', 'robustbase', 'robustlmm', 'rsample', 'rstanarm', 'rstantools', 'rstpm2', 'rstudioapi', 'rsvg', 'sampleSelection', 'sandwich', 'scam', 'spelling', 'speedglm', 'survey', 'svglite', 'systemfit', 'systemfonts', 'tibble', 'tictoc', 'tidymodels', 'tidyr', 'tidyverse', 'tinysnapshot', 'tinytable', 'tinytest', 'titanic', 'truncreg', 'tsModel', 'withr', 'workflows', 'yaml', 'xgboost', 'altdoc', 'knitr', 'quarto' * installing *source* package 'SQUAREM' ... ** this is package 'SQUAREM' version '2021.1' ** package 'SQUAREM' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SQUAREM) * installing *source* package 'fracdiff' ... ** this is package 'fracdiff' version '1.5-3' ** package 'fracdiff' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdcore.c -o fdcore.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdgam.c -o fdgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdhess.c -o fdhess.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdmin.c -o fdmin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdsim.c -o fdsim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pmult.c -o pmult.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fracdiff.so fdcore.o fdgam.o fdhess.o fdmin.o fdsim.o init.o pmult.o -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-fracdiff/00new/fracdiff/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fracdiff) * installing *source* package 'urca' ... ** this is package 'urca' version '1.3-4' ** package 'urca' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c UnitRootMacKinnon.f -o UnitRootMacKinnon.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c urca_init.c -o urca_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o urca.so UnitRootMacKinnon.o urca_init.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-urca/00new/urca/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (urca) * installing *source* package 'proxy' ... ** this is package 'proxy' version '0.4-29' ** package 'proxy' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c apply.c -o apply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arrayIndex.c -o arrayIndex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distance.c -o distance.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dll.c -o dll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o proxy.so apply.o arrayIndex.o distance.o dll.o util.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-proxy/00new/proxy/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (proxy) * installing *source* package 'Deriv' ... ** this is package 'Deriv' version '4.2.0' ** package 'Deriv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Deriv) * installing *source* package 'microbenchmark' ... ** this is package 'microbenchmark' version '1.5.0' ** package 'microbenchmark' successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for stdint.h... (cached) yes checking for stdlib.h... (cached) yes checking for sys/time.h... yes checking for uint64_t... yes checking for error_at_line... yes checking for mach_absolute_time... no checking for library containing clock_gettime... none required checking for best clockid_t to use with clock_gettime... CLOCK_MONOTONIC_RAW configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -D_POSIX_C_SOURCE=200112L -DHAVE_CONFIG_H -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c do_nothing.c -o do_nothing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -D_POSIX_C_SOURCE=200112L -DHAVE_CONFIG_H -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -D_POSIX_C_SOURCE=200112L -DHAVE_CONFIG_H -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nanotimer.c -o nanotimer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o microbenchmark.so do_nothing.o init.o nanotimer.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-microbenchmark/00new/microbenchmark/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (microbenchmark) * installing *source* package 'lmom' ... ** this is package 'lmom' version '3.2' ** package 'lmom' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c d1mach.f -o d1mach.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqagie.f -o dqagie.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqagse.f -o dqagse.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqelg.f -o dqelg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqk15i.f -o dqk15i.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqk21.f -o dqk21.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dqpsrt.f -o dqpsrt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lmomc.c -o lmomc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmoments.f -o lmoments.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c samlm.f -o samlm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lmom.so d1mach.o dqagie.o dqagse.o dqelg.o dqk15i.o dqk21.o dqpsrt.o init.o lmomc.o lmoments.o samlm.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lmom/00new/lmom/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lmom) * installing *source* package 'mnormt' ... ** this is package 'mnormt' version '2.1.2' ** package 'mnormt' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c biv-nt.f -o biv-nt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mnormt_init.c -o mnormt_init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rtmng.f -o rtmng.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sadmvnt.f -o sadmvnt.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tvpack.f -o tvpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mnormt.so biv-nt.o mnormt_init.o rtmng.o sadmvnt.o tvpack.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mnormt/00new/mnormt/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mnormt) * installing *source* package 'pbivnorm' ... ** this is package 'pbivnorm' version '0.6.0' ** package 'pbivnorm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pbivnorm.f -o pbivnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pbivnorm.so pbivnorm.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-pbivnorm/00new/pbivnorm/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbivnorm) * installing *source* package 'nanonext' ... ** this is package 'nanonext' version '1.8.1' ** package 'nanonext' successfully unpacked and MD5 sums checked ** using staged installation Existing 'libmbedtls' >= 2.5.0 not found Compiling 'libmbedtls' from source ... -- The C compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Check if compiler accepts -pthread -- Check if compiler accepts -pthread - yes -- Found Threads: TRUE -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/27261227/Rtmp6maX5q/R.INSTALL2cc6b513271e1a/nanonext/nano-build [ 1%] Building C 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library/CMakeFiles/mbedcrypto.dir/rsa_alt_helpers.c.o [ 61%] Building C object library/CMakeFiles/mbedcrypto.dir/sha1.c.o [ 63%] Building C object library/CMakeFiles/mbedcrypto.dir/sha256.c.o [ 64%] Building C object library/CMakeFiles/mbedcrypto.dir/sha512.c.o [ 66%] Building C object library/CMakeFiles/mbedcrypto.dir/threading.c.o [ 67%] Building C object library/CMakeFiles/mbedcrypto.dir/timing.c.o [ 69%] Building C object library/CMakeFiles/mbedcrypto.dir/version.c.o [ 70%] Linking C static library libmbedcrypto.a [ 70%] Built target mbedcrypto [ 71%] Building C object library/CMakeFiles/mbedx509.dir/x509.c.o [ 73%] Building C object library/CMakeFiles/mbedx509.dir/x509_create.c.o [ 74%] Building C object library/CMakeFiles/mbedx509.dir/x509_crl.c.o [ 76%] Building C object library/CMakeFiles/mbedx509.dir/x509_crt.c.o [ 77%] Building C object library/CMakeFiles/mbedx509.dir/x509_csr.c.o [ 78%] Building C object library/CMakeFiles/mbedx509.dir/x509write.c.o [ 80%] Building C object library/CMakeFiles/mbedx509.dir/x509write_crt.c.o [ 81%] Building C object library/CMakeFiles/mbedx509.dir/x509write_csr.c.o [ 83%] Linking C static library libmbedx509.a [ 83%] Built target mbedx509 [ 84%] Building C object library/CMakeFiles/mbedtls.dir/net_sockets.c.o [ 85%] Building C object library/CMakeFiles/mbedtls.dir/ssl_cache.c.o [ 87%] Building C object library/CMakeFiles/mbedtls.dir/ssl_ciphersuites.c.o [ 88%] Building C object library/CMakeFiles/mbedtls.dir/ssl_client.c.o [ 90%] Building C object library/CMakeFiles/mbedtls.dir/ssl_cookie.c.o [ 91%] Building C object library/CMakeFiles/mbedtls.dir/ssl_debug_helpers_generated.c.o [ 92%] Building C object library/CMakeFiles/mbedtls.dir/ssl_msg.c.o [ 94%] Building C object library/CMakeFiles/mbedtls.dir/ssl_ticket.c.o [ 95%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls.c.o [ 97%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls12_client.c.o [ 98%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls12_server.c.o [100%] Linking C static library libmbedtls.a [100%] Built target mbedtls Install the project... -- Install configuration: "Release" Existing 'libnng' >= 1.9.0 not found Compiling 'libnng' from source ... -- The C compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Configuring for NNG version 1.11.0 -- Performing Test NNG_HIDDEN_VISIBILITY -- Performing Test NNG_HIDDEN_VISIBILITY - Success -- Looking for strlcpy -- Looking for strlcpy - not found -- Looking for strnlen -- Looking for strnlen - found -- Looking for strcasecmp -- Looking for strcasecmp - found -- Looking for strncasecmp -- Looking for strncasecmp - found -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Looking for lockf -- Looking for lockf - found -- Looking for flock -- Looking for flock - found -- Looking for getrandom -- Looking for getrandom - found -- Looking for arc4random_buf -- Looking for arc4random_buf - not found -- Looking for clock_gettime -- Looking for clock_gettime - found -- Looking for sem_wait in pthread -- Looking for sem_wait in pthread - found -- Looking for pthread_atfork in pthread -- Looking for pthread_atfork in pthread - found -- Looking for pthread_set_name_np in pthread -- Looking for pthread_set_name_np in pthread - not found -- Looking for pthread_setname_np in pthread -- Looking for pthread_setname_np in pthread - found -- Looking for gethostbyname in nsl -- Looking for gethostbyname in nsl - found -- Looking for socket in socket -- Looking for socket in socket - not found -- Looking for __atomic_load_1 in atomic -- Looking for __atomic_load_1 in atomic - found -- Looking for AF_UNIX -- Looking for AF_UNIX - found -- Looking for backtrace_symbols_fd -- Looking for backtrace_symbols_fd - found -- Performing Test NNG_HAVE_MSG_CONTROL -- Performing Test NNG_HAVE_MSG_CONTROL - Success -- Looking for eventfd -- Looking for eventfd - found -- Looking for kqueue -- Looking for kqueue - not found -- Looking for port_create -- Looking for port_create - not found -- Looking for epoll_create -- Looking for epoll_create - found -- Looking for epoll_create1 -- Looking for epoll_create1 - found -- Looking for getpeereid -- Looking for getpeereid - not found -- Looking for SO_PEERCRED -- Looking for SO_PEERCRED - found -- Performing Test NNG_HAVE_SOCKPEERCRED -- Performing Test NNG_HAVE_SOCKPEERCRED - Failed -- Looking for LOCAL_PEERCRED -- Looking for LOCAL_PEERCRED - not found -- Looking for LOCAL_PEERPID -- Looking for LOCAL_PEERPID - not found -- Looking for getpeerucred -- Looking for getpeerucred - not found -- Looking for atomic_flag_test_and_set -- Looking for atomic_flag_test_and_set - found -- Looking for socketpair -- Looking for socketpair - found -- Found mbedTLS: /tmp/th798/27261227/Rtmp6maX5q/R.INSTALL2cc6b513271e1a/nanonext/nano-install/lib/libmbedtls.a (found version "3.6.5") -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/27261227/Rtmp6maX5q/R.INSTALL2cc6b513271e1a/nanonext/nano-build [ 0%] Building C object CMakeFiles/nng.dir/src/nng.c.o [ 2%] Building C object CMakeFiles/nng.dir/src/core/aio.c.o [ 2%] Building C object CMakeFiles/nng.dir/src/core/device.c.o [ 4%] Building C object CMakeFiles/nng.dir/src/core/dialer.c.o [ 4%] Building C object CMakeFiles/nng.dir/src/core/sockfd.c.o [ 6%] Building C object CMakeFiles/nng.dir/src/core/file.c.o [ 8%] Building C object CMakeFiles/nng.dir/src/core/idhash.c.o [ 8%] Building C object CMakeFiles/nng.dir/src/core/init.c.o [ 10%] Building C object CMakeFiles/nng.dir/src/core/list.c.o [ 10%] Building C object CMakeFiles/nng.dir/src/core/listener.c.o [ 12%] Building C object CMakeFiles/nng.dir/src/core/lmq.c.o [ 12%] Building C object CMakeFiles/nng.dir/src/core/message.c.o [ 14%] Building C object CMakeFiles/nng.dir/src/core/msgqueue.c.o [ 16%] Building C object CMakeFiles/nng.dir/src/core/options.c.o [ 16%] Building C object CMakeFiles/nng.dir/src/core/pollable.c.o [ 18%] Building C object CMakeFiles/nng.dir/src/core/panic.c.o [ 18%] Building C object CMakeFiles/nng.dir/src/core/pipe.c.o [ 20%] Building C object CMakeFiles/nng.dir/src/core/reap.c.o [ 20%] Building C object CMakeFiles/nng.dir/src/core/socket.c.o [ 22%] Building C object CMakeFiles/nng.dir/src/core/stats.c.o [ 24%] Building C object CMakeFiles/nng.dir/src/core/stream.c.o [ 24%] Building C object CMakeFiles/nng.dir/src/core/strs.c.o [ 26%] Building C object CMakeFiles/nng.dir/src/core/taskq.c.o [ 26%] Building C object CMakeFiles/nng.dir/src/core/tcp.c.o [ 28%] Building C object CMakeFiles/nng.dir/src/core/thread.c.o [ 28%] Building C object CMakeFiles/nng.dir/src/core/url.c.o [ 30%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_alloc.c.o [ 32%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_atomic.c.o [ 32%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_clock.c.o [ 34%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_debug.c.o [ 34%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_file.c.o [ 36%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_ipcconn.c.o [ 36%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_ipcdial.c.o [ 38%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_ipclisten.c.o [ 40%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_peerid.c.o [ 40%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_pipe.c.o [ 42%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_resolv_gai.c.o [ 42%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_sockaddr.c.o [ 44%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_socketpair.c.o [ 44%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_sockfd.c.o [ 46%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_tcpconn.c.o [ 48%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_tcpdial.c.o [ 48%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_tcplisten.c.o [ 50%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_thread.c.o [ 50%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_udp.c.o [ 52%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_pollq_epoll.c.o [ 54%] Building C object CMakeFiles/nng.dir/src/platform/posix/posix_rand_getrandom.c.o [ 54%] Building C object CMakeFiles/nng.dir/src/sp/protocol/bus0/bus.c.o [ 56%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pair0/pair.c.o [ 56%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pair1/pair.c.o [ 58%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pair1/pair1_poly.c.o [ 58%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pipeline0/push.c.o [ 60%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pipeline0/pull.c.o [ 62%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pubsub0/pub.c.o [ 62%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pubsub0/sub.c.o [ 64%] Building C object CMakeFiles/nng.dir/src/sp/protocol/pubsub0/xsub.c.o [ 64%] Building C object CMakeFiles/nng.dir/src/sp/protocol/reqrep0/req.c.o [ 66%] Building C object CMakeFiles/nng.dir/src/sp/protocol/reqrep0/xreq.c.o [ 66%] Building C object CMakeFiles/nng.dir/src/sp/protocol/reqrep0/rep.c.o [ 68%] Building C object CMakeFiles/nng.dir/src/sp/protocol/reqrep0/xrep.c.o [ 70%] Building C object CMakeFiles/nng.dir/src/sp/protocol/survey0/survey.c.o [ 70%] Building C object CMakeFiles/nng.dir/src/sp/protocol/survey0/xsurvey.c.o [ 72%] Building C object CMakeFiles/nng.dir/src/sp/protocol/survey0/respond.c.o [ 72%] Building C object CMakeFiles/nng.dir/src/sp/protocol/survey0/xrespond.c.o [ 74%] Building C object CMakeFiles/nng.dir/src/sp/transport/socket/sockfd.c.o [ 74%] Building C object CMakeFiles/nng.dir/src/sp/transport/inproc/inproc.c.o [ 76%] Building C object CMakeFiles/nng.dir/src/sp/transport/ipc/ipc.c.o [ 78%] Building C object CMakeFiles/nng.dir/src/sp/transport/tcp/tcp.c.o [ 78%] Building C object CMakeFiles/nng.dir/src/sp/transport/tls/tls.c.o [ 80%] Building C object CMakeFiles/nng.dir/src/sp/transport/ws/websocket.c.o [ 80%] Building C object CMakeFiles/nng.dir/src/sp/protocol.c.o [ 82%] Building C object CMakeFiles/nng.dir/src/sp/transport.c.o [ 82%] Building C object CMakeFiles/nng.dir/src/supplemental/base64/base64.c.o [ 84%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_public.c.o [ 86%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_client.c.o [ 86%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_chunk.c.o [ 88%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_conn.c.o [ 88%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_msg.c.o [ 90%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_schemes.c.o [ 90%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_server.c.o [ 92%] Building C object CMakeFiles/nng.dir/src/supplemental/sha1/sha1.c.o [ 94%] Building C object CMakeFiles/nng.dir/src/supplemental/tls/mbedtls/tls.c.o [ 94%] Building C object CMakeFiles/nng.dir/src/supplemental/tls/tls_common.c.o [ 96%] Building C object CMakeFiles/nng.dir/src/supplemental/util/options.c.o [ 96%] Building C object CMakeFiles/nng.dir/src/supplemental/util/platform.c.o [ 98%] Building C object CMakeFiles/nng.dir/src/supplemental/websocket/websocket.c.o [100%] Linking C static library libnng.a [100%] Built target nng Install the project... -- Install configuration: "Release" ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aio.c -o aio.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c comms.c -o comms.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c core.c -o core.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dispatcher.c -o dispatcher.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ncurl.c -o ncurl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c net.c -o net.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c proto.c -o proto.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c server.c -o server.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sync.c -o sync.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.c -o thread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tls.c -o tls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../nano-install/include -DNNG_STATIC_LIB -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nanonext.so aio.o comms.o core.o dispatcher.o init.o ncurl.o net.o proto.o server.o sync.o thread.o tls.o utils.o ../nano-install/lib/libnng.a ../nano-install/lib/libmbedtls.a ../nano-install/lib/libmbedx509.a ../nano-install/lib/libmbedcrypto.a installing to /tmp/th798/27261227/R-release/841/library/00LOCK-nanonext/00new/nanonext/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nanonext) * installing *source* package 'mclust' ... ** this is package 'mclust' version '6.1.2' ** package 'mclust' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mclust.f -o mclust.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mclust2.f -o mclust2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c util.f -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mclust.so init.o mclust.o mclust2.o util.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mclust/00new/mclust/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mclust) * installing *source* package 'diptest' ... ** this is package 'diptest' version '0.77-2' ** package 'diptest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dip.c -o dip.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o diptest.so dip.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-diptest/00new/diptest/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diptest) * installing *source* package 'kernlab' ... ** this is package 'kernlab' version '0.9-33' ** package 'kernlab' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brweight.cpp -o brweight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ctable.cpp -o ctable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cweight.cpp -o cweight.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dbreakpt.c -o dbreakpt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dcauchy.c -o dcauchy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dgpnrm.c -o dgpnrm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dgpstep.c -o dgpstep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dprecond.c -o dprecond.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dprsrch.c -o dprsrch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dspcg.c -o dspcg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtron.c -o dtron.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtrpcg.c -o dtrpcg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtrqsol.c -o dtrqsol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c esa.cpp -o esa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expdecayweight.cpp -o expdecayweight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inductionsort.cpp -o inductionsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kspectrumweight.cpp -o kspectrumweight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lcp.cpp -o lcp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc.c -o misc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c msufsort.cpp -o msufsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c solvebqp.c -o solvebqp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringk.c -o stringk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringkernel.cpp -o stringkernel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c svm.cpp -o svm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wkasailcp.cpp -o wkasailcp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wmsufsort.cpp -o wmsufsort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o kernlab.so brweight.o ctable.o cweight.o dbreakpt.o dcauchy.o dgpnrm.o dgpstep.o dprecond.o dprsrch.o dspcg.o dtron.o dtrpcg.o dtrqsol.o esa.o expdecayweight.o inductionsort.o init.o kspectrumweight.o lcp.o misc.o msufsort.o solvebqp.o stringk.o stringkernel.o svm.o wkasailcp.o wmsufsort.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-kernlab/00new/kernlab/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'pattern' in package 'kernlab' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kernlab) * installing *source* package 'sys' ... ** this is package 'sys' version '3.4.3' ** package 'sys' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c exec.c -o exec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sys.so exec.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-sys/00new/sys/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sys) * installing *source* package 'rematch' ... ** this is package 'rematch' version '2.0.0' ** package 'rematch' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rematch) * installing *source* package 'bit' ... ** this is package 'bit' version '4.6.0' ** package 'bit' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attrutil.c -o attrutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bit.c -o bit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chunkutil.c -o chunkutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clone.c -o clone.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integerutil.c -o integerutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c merge.c -o merge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rle.c -o rle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sort.c -o sort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bit.so attrutil.o bit.o chunkutil.o clone.o init.o integerutil.o merge.o rle.o sort.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-bit/00new/bit/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bit) * installing *source* package 'utf8' ... ** this is package 'utf8' version '1.2.6' ** package 'utf8' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c as_utf8.c -o as_utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bytes.c -o bytes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c context.c -o context.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c render.c -o render.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c render_table.c -o render_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string.c -o string.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c text.c -o text.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_encode.c -o utf8_encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_format.c -o utf8_format.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_normalize.c -o utf8_normalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_valid.c -o utf8_valid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8_width.c -o utf8_width.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/array.c -o utf8lite/src/array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/char.c -o utf8lite/src/char.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/encode.c -o utf8lite/src/encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/error.c -o utf8lite/src/error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/escape.c -o utf8lite/src/escape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/graph.c -o utf8lite/src/graph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/graphscan.c -o utf8lite/src/graphscan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/normalize.c -o utf8lite/src/normalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/render.c -o utf8lite/src/render.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/text.c -o utf8lite/src/text.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/textassign.c -o utf8lite/src/textassign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/textiter.c -o utf8lite/src/textiter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iutf8lite/src -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8lite/src/textmap.c -o utf8lite/src/textmap.o ar rcs libcutf8lite.a utf8lite/src/array.o utf8lite/src/char.o utf8lite/src/encode.o utf8lite/src/error.o utf8lite/src/escape.o utf8lite/src/graph.o utf8lite/src/graphscan.o utf8lite/src/normalize.o utf8lite/src/render.o utf8lite/src/text.o utf8lite/src/textassign.o utf8lite/src/textiter.o utf8lite/src/textmap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o utf8.so as_utf8.o bytes.o context.o init.o render.o render_table.o string.o text.o utf8_encode.o utf8_format.o utf8_normalize.o utf8_valid.o utf8_width.o util.o -L. -lcutf8lite installing to /tmp/th798/27261227/R-release/841/library/00LOCK-utf8/00new/utf8/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (utf8) * installing *source* package 'inline' ... ** this is package 'inline' version '0.3.21' ** package 'inline' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (inline) * installing *source* package 'QuickJSR' ... ** this is package 'QuickJSR' version '1.9.0' ** package 'QuickJSR' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I"include" -I"quickjs" -D_GNU_SOURCE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -funsigned-char -std=gnu11 -c libquickjs.c /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"include" -I"quickjs" -D_GNU_SOURCE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickjsr.cpp -o quickjsr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"include" -I"quickjs" -D_GNU_SOURCE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o QuickJSR.so quickjsr.o init.o libquickjs.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-QuickJSR/00new/QuickJSR/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (QuickJSR) * installing *source* package 'Brobdingnag' ... ** this is package 'Brobdingnag' version '1.2-9' ** package 'Brobdingnag' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'diag' in package 'Brobdingnag' Creating a new generic function for 't' in package 'Brobdingnag' ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Brobdingnag) * installing *source* package 'stringi' ... ** this is package 'stringi' version '1.8.7' ** package 'stringi' successfully unpacked and MD5 sums checked ** using staged installation checking for R_HOME... /home/th798/R/R-release checking for R... /home/th798/R/R-release/bin/R checking for endianness... little checking for cat... /usr/bin/cat checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking whether the C++ compiler supports the 'long long' type... yes checking whether the compiler implements namespaces... yes checking whether the compiler supports the Standard Template Library... yes checking whether std::map is available... yes checking for pkg-config... /home/th798/.conda/envs/emacs1/bin/pkg-config checking with 'pkg-config' for the system ICU4C (icu-i18n icu-uc)... 58.2 checking for ICU4C >= 61... no *** ICU4C 58.2 has been detected *** Minimal requirements, i.e., ICU4C >= 61, are not met *** Trying with 'standard' fallback flags checking whether an ICU4C-based project can be built... no *** This version of ICU4C cannot be used. *** Using the ICU 74 bundle that comes with 'stringi'. checking whether we may compile src/icu74/common/putil.cpp... yes checking whether we may compile src/icu74/i18n/number_affixutils.cpp... yes checking whether alignof(std::max_align_t) is available... yes checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for elf.h... yes checking whether the ICU data library is available... icu74/data/icudt74l.dat.xz exists configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/uconfig_local.h config.status: creating src/install.libs.R *** stringi configure summary: ICU_FOUND=0 ICUDT_DIR=icu74/data ICU_BUNDLE_VERSION=74 ICUDT_ENDIANNESS=little STRINGI_CXXSTD= STRINGI_CXXFLAGS= -fpic STRINGI_CPPFLAGS=-I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL STRINGI_LDFLAGS= STRINGI_LIBS= *** Compiler settings used: CXX=/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 LD=/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 CXXFLAGS=-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include CPPFLAGS=-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include LDFLAGS= LIBS= ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_brkiter.cpp -o stri_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_callables.cpp -o stri_callables.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_collator.cpp -o stri_collator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_common.cpp -o stri_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_compare.cpp -o stri_compare.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_base.cpp -o stri_container_base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_bytesearch.cpp -o stri_container_bytesearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_listint.cpp -o stri_container_listint.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_listraw.cpp -o stri_container_listraw.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_listutf8.cpp -o stri_container_listutf8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_regex.cpp -o stri_container_regex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_usearch.cpp -o stri_container_usearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_utf16.cpp -o stri_container_utf16.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_utf8.cpp -o stri_container_utf8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_container_utf8_indexable.cpp -o stri_container_utf8_indexable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_encoding_conversion.cpp -o stri_encoding_conversion.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_encoding_detection.cpp -o stri_encoding_detection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_encoding_management.cpp -o stri_encoding_management.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_escape.cpp -o stri_escape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_exception.cpp -o stri_exception.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_ICU_settings.cpp -o stri_ICU_settings.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_join.cpp -o stri_join.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_length.cpp -o stri_length.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_pad.cpp -o stri_pad.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_prepare_arg.cpp -o stri_prepare_arg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_random.cpp -o stri_random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_reverse.cpp -o stri_reverse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_count.cpp -o stri_search_class_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_detect.cpp -o stri_search_class_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_extract.cpp -o stri_search_class_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_locate.cpp -o stri_search_class_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_replace.cpp -o stri_search_class_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_split.cpp -o stri_search_class_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_startsendswith.cpp -o stri_search_class_startsendswith.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_subset.cpp -o stri_search_class_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_class_trim.cpp -o stri_search_class_trim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_common.cpp -o stri_search_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_count.cpp -o stri_search_coll_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_detect.cpp -o stri_search_coll_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_extract.cpp -o stri_search_coll_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_locate.cpp -o stri_search_coll_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_replace.cpp -o stri_search_coll_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_split.cpp -o stri_search_coll_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_startsendswith.cpp -o stri_search_coll_startsendswith.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_coll_subset.cpp -o stri_search_coll_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_count.cpp -o stri_search_boundaries_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_extract.cpp -o stri_search_boundaries_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_locate.cpp -o stri_search_boundaries_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_boundaries_split.cpp -o stri_search_boundaries_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_count.cpp -o stri_search_fixed_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_detect.cpp -o stri_search_fixed_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_extract.cpp -o stri_search_fixed_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_locate.cpp -o stri_search_fixed_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_replace.cpp -o stri_search_fixed_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_split.cpp -o stri_search_fixed_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_subset.cpp -o stri_search_fixed_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_fixed_startsendswith.cpp -o stri_search_fixed_startsendswith.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_in.cpp -o stri_search_in.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_other_split.cpp -o stri_search_other_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_count.cpp -o stri_search_regex_count.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_detect.cpp -o stri_search_regex_detect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_extract.cpp -o stri_search_regex_extract.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_locate.cpp -o stri_search_regex_locate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_match.cpp -o stri_search_regex_match.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_replace.cpp -o stri_search_regex_replace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_split.cpp -o stri_search_regex_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_search_regex_subset.cpp -o stri_search_regex_subset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_sort.cpp -o stri_sort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_sprintf.cpp -o stri_sprintf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_stats.cpp -o stri_stats.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_string8.cpp -o stri_string8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_stringi.cpp -o stri_stringi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_sub.cpp -o stri_sub.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_test.cpp -o stri_test.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_zone.cpp -o stri_time_zone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_calendar.cpp -o stri_time_calendar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_symbols.cpp -o stri_time_symbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_time_format.cpp -o stri_time_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_casemap.cpp -o stri_trans_casemap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_other.cpp -o stri_trans_other.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_normalization.cpp -o stri_trans_normalization.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_trans_transliterate.cpp -o stri_trans_transliterate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_ucnv.cpp -o stri_ucnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_uloc.cpp -o stri_uloc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_utils.cpp -o stri_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stri_wrap.cpp -o stri_wrap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/appendable.cpp -o icu74/common/appendable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bmpset.cpp -o icu74/common/bmpset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/brkeng.cpp -o icu74/common/brkeng.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/brkiter.cpp -o icu74/common/brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytesinkutil.cpp -o icu74/common/bytesinkutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestream.cpp -o icu74/common/bytestream.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestrie.cpp -o icu74/common/bytestrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestriebuilder.cpp -o icu74/common/bytestriebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/bytestrieiterator.cpp -o icu74/common/bytestrieiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/caniter.cpp -o icu74/common/caniter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/characterproperties.cpp -o icu74/common/characterproperties.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/chariter.cpp -o icu74/common/chariter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/charstr.cpp -o icu74/common/charstr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cmemory.cpp -o icu74/common/cmemory.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cstr.cpp -o icu74/common/cstr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cstring.cpp -o icu74/common/cstring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/cwchar.cpp -o icu74/common/cwchar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/dictbe.cpp -o icu74/common/dictbe.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/dictionarydata.cpp -o icu74/common/dictionarydata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/dtintrv.cpp -o icu74/common/dtintrv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/edits.cpp -o icu74/common/edits.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/emojiprops.cpp -o icu74/common/emojiprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/errorcode.cpp -o icu74/common/errorcode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/filteredbrk.cpp -o icu74/common/filteredbrk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/filterednormalizer2.cpp -o icu74/common/filterednormalizer2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/icudataver.cpp -o icu74/common/icudataver.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/icuplug.cpp -o icu74/common/icuplug.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/loadednormalizer2impl.cpp -o icu74/common/loadednormalizer2impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/localebuilder.cpp -o icu74/common/localebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/localematcher.cpp -o icu74/common/localematcher.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/localeprioritylist.cpp -o icu74/common/localeprioritylist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locavailable.cpp -o icu74/common/locavailable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locbased.cpp -o icu74/common/locbased.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locdispnames.cpp -o icu74/common/locdispnames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locdistance.cpp -o icu74/common/locdistance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locdspnm.cpp -o icu74/common/locdspnm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locid.cpp -o icu74/common/locid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/loclikely.cpp -o icu74/common/loclikely.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/loclikelysubtags.cpp -o icu74/common/loclikelysubtags.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locmap.cpp -o icu74/common/locmap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locresdata.cpp -o icu74/common/locresdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/locutil.cpp -o icu74/common/locutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/lsr.cpp -o icu74/common/lsr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/lstmbe.cpp -o icu74/common/lstmbe.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/messagepattern.cpp -o icu74/common/messagepattern.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/mlbe.cpp -o icu74/common/mlbe.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/normalizer2.cpp -o icu74/common/normalizer2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/normalizer2impl.cpp -o icu74/common/normalizer2impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/normlzr.cpp -o icu74/common/normlzr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/parsepos.cpp -o icu74/common/parsepos.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/patternprops.cpp -o icu74/common/patternprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/pluralmap.cpp -o icu74/common/pluralmap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/propname.cpp -o icu74/common/propname.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/propsvec.cpp -o icu74/common/propsvec.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/punycode.cpp -o icu74/common/punycode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/putil.cpp -o icu74/common/putil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbi_cache.cpp -o icu74/common/rbbi_cache.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbi.cpp -o icu74/common/rbbi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbidata.cpp -o icu74/common/rbbidata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbinode.cpp -o icu74/common/rbbinode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbirb.cpp -o icu74/common/rbbirb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbiscan.cpp -o icu74/common/rbbiscan.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbisetb.cpp -o icu74/common/rbbisetb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbistbl.cpp -o icu74/common/rbbistbl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/rbbitblb.cpp -o icu74/common/rbbitblb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/resbund_cnv.cpp -o icu74/common/resbund_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/resbund.cpp -o icu74/common/resbund.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/resource.cpp -o icu74/common/resource.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/restrace.cpp -o icu74/common/restrace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ruleiter.cpp -o icu74/common/ruleiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/schriter.cpp -o icu74/common/schriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/serv.cpp -o icu74/common/serv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servlk.cpp -o icu74/common/servlk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servlkf.cpp -o icu74/common/servlkf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servls.cpp -o icu74/common/servls.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servnotf.cpp -o icu74/common/servnotf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servrbf.cpp -o icu74/common/servrbf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/servslkf.cpp -o icu74/common/servslkf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/sharedobject.cpp -o icu74/common/sharedobject.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/simpleformatter.cpp -o icu74/common/simpleformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/static_unicode_sets.cpp -o icu74/common/static_unicode_sets.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/stringpiece.cpp -o icu74/common/stringpiece.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/stringtriebuilder.cpp -o icu74/common/stringtriebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uarrsort.cpp -o icu74/common/uarrsort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidi_props.cpp -o icu74/common/ubidi_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidi.cpp -o icu74/common/ubidi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidiln.cpp -o icu74/common/ubidiln.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubiditransform.cpp -o icu74/common/ubiditransform.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubidiwrt.cpp -o icu74/common/ubidiwrt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ubrk.cpp -o icu74/common/ubrk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucase.cpp -o icu74/common/ucase.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucasemap_titlecase_brkiter.cpp -o icu74/common/ucasemap_titlecase_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucasemap.cpp -o icu74/common/ucasemap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucat.cpp -o icu74/common/ucat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uchar.cpp -o icu74/common/uchar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucharstrie.cpp -o icu74/common/ucharstrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucharstriebuilder.cpp -o icu74/common/ucharstriebuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucharstrieiterator.cpp -o icu74/common/ucharstrieiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uchriter.cpp -o icu74/common/uchriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucln_cmn.cpp -o icu74/common/ucln_cmn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucmndata.cpp -o icu74/common/ucmndata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_bld.cpp -o icu74/common/ucnv_bld.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_cb.cpp -o icu74/common/ucnv_cb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_cnv.cpp -o icu74/common/ucnv_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_ct.cpp -o icu74/common/ucnv_ct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_err.cpp -o icu74/common/ucnv_err.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_ext.cpp -o icu74/common/ucnv_ext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_io.cpp -o icu74/common/ucnv_io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_lmb.cpp -o icu74/common/ucnv_lmb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_set.cpp -o icu74/common/ucnv_set.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u16.cpp -o icu74/common/ucnv_u16.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u32.cpp -o icu74/common/ucnv_u32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u7.cpp -o icu74/common/ucnv_u7.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv_u8.cpp -o icu74/common/ucnv_u8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv.cpp -o icu74/common/ucnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnv2022.cpp -o icu74/common/ucnv2022.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvbocu.cpp -o icu74/common/ucnvbocu.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvdisp.cpp -o icu74/common/ucnvdisp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvhz.cpp -o icu74/common/ucnvhz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvisci.cpp -o icu74/common/ucnvisci.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvlat1.cpp -o icu74/common/ucnvlat1.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvmbcs.cpp -o icu74/common/ucnvmbcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvscsu.cpp -o icu74/common/ucnvscsu.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucnvsel.cpp -o icu74/common/ucnvsel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucol_swp.cpp -o icu74/common/ucol_swp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucptrie.cpp -o icu74/common/ucptrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ucurr.cpp -o icu74/common/ucurr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/udata.cpp -o icu74/common/udata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/udatamem.cpp -o icu74/common/udatamem.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/udataswp.cpp -o icu74/common/udataswp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uenum.cpp -o icu74/common/uenum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uhash_us.cpp -o icu74/common/uhash_us.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uhash.cpp -o icu74/common/uhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uidna.cpp -o icu74/common/uidna.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uinit.cpp -o icu74/common/uinit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uinvchar.cpp -o icu74/common/uinvchar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uiter.cpp -o icu74/common/uiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ulist.cpp -o icu74/common/ulist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uloc_keytype.cpp -o icu74/common/uloc_keytype.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uloc_tag.cpp -o icu74/common/uloc_tag.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uloc.cpp -o icu74/common/uloc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ulocale.cpp -o icu74/common/ulocale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ulocbuilder.cpp -o icu74/common/ulocbuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umapfile.cpp -o icu74/common/umapfile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umath.cpp -o icu74/common/umath.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umutablecptrie.cpp -o icu74/common/umutablecptrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/umutex.cpp -o icu74/common/umutex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unames.cpp -o icu74/common/unames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unifiedcache.cpp -o icu74/common/unifiedcache.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unifilt.cpp -o icu74/common/unifilt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unifunct.cpp -o icu74/common/unifunct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uniset_closure.cpp -o icu74/common/uniset_closure.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uniset_props.cpp -o icu74/common/uniset_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uniset.cpp -o icu74/common/uniset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unisetspan.cpp -o icu74/common/unisetspan.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_case_locale.cpp -o icu74/common/unistr_case_locale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_case.cpp -o icu74/common/unistr_case.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_cnv.cpp -o icu74/common/unistr_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_props.cpp -o icu74/common/unistr_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr_titlecase_brkiter.cpp -o icu74/common/unistr_titlecase_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unistr.cpp -o icu74/common/unistr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unorm.cpp -o icu74/common/unorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/unormcmp.cpp -o icu74/common/unormcmp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uobject.cpp -o icu74/common/uobject.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uprops.cpp -o icu74/common/uprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ures_cnv.cpp -o icu74/common/ures_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uresbund.cpp -o icu74/common/uresbund.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uresdata.cpp -o icu74/common/uresdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/usc_impl.cpp -o icu74/common/usc_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uscript_props.cpp -o icu74/common/uscript_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uscript.cpp -o icu74/common/uscript.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uset_props.cpp -o icu74/common/uset_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uset.cpp -o icu74/common/uset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/usetiter.cpp -o icu74/common/usetiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ushape.cpp -o icu74/common/ushape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/usprep.cpp -o icu74/common/usprep.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustack.cpp -o icu74/common/ustack.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustr_cnv.cpp -o icu74/common/ustr_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustr_titlecase_brkiter.cpp -o icu74/common/ustr_titlecase_brkiter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustr_wcs.cpp -o icu74/common/ustr_wcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrcase_locale.cpp -o icu74/common/ustrcase_locale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrcase.cpp -o icu74/common/ustrcase.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrenum.cpp -o icu74/common/ustrenum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrfmt.cpp -o icu74/common/ustrfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustring.cpp -o icu74/common/ustring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/ustrtrns.cpp -o icu74/common/ustrtrns.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utext.cpp -o icu74/common/utext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utf_impl.cpp -o icu74/common/utf_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/util_props.cpp -o icu74/common/util_props.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/util.cpp -o icu74/common/util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrace.cpp -o icu74/common/utrace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie_swap.cpp -o icu74/common/utrie_swap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie.cpp -o icu74/common/utrie.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie2_builder.cpp -o icu74/common/utrie2_builder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utrie2.cpp -o icu74/common/utrie2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uts46.cpp -o icu74/common/uts46.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/utypes.cpp -o icu74/common/utypes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uvector.cpp -o icu74/common/uvector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uvectr32.cpp -o icu74/common/uvectr32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/uvectr64.cpp -o icu74/common/uvectr64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/common/wintz.cpp -o icu74/common/wintz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/alphaindex.cpp -o icu74/i18n/alphaindex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/anytrans.cpp -o icu74/i18n/anytrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/astro.cpp -o icu74/i18n/astro.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/basictz.cpp -o icu74/i18n/basictz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/bocsu.cpp -o icu74/i18n/bocsu.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/brktrans.cpp -o icu74/i18n/brktrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/buddhcal.cpp -o icu74/i18n/buddhcal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/calendar.cpp -o icu74/i18n/calendar.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/casetrn.cpp -o icu74/i18n/casetrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/cecal.cpp -o icu74/i18n/cecal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/chnsecal.cpp -o icu74/i18n/chnsecal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/choicfmt.cpp -o icu74/i18n/choicfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/coleitr.cpp -o icu74/i18n/coleitr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/coll.cpp -o icu74/i18n/coll.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collation.cpp -o icu74/i18n/collation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationbuilder.cpp -o icu74/i18n/collationbuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationcompare.cpp -o icu74/i18n/collationcompare.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdata.cpp -o icu74/i18n/collationdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdatabuilder.cpp -o icu74/i18n/collationdatabuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdatareader.cpp -o icu74/i18n/collationdatareader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationdatawriter.cpp -o icu74/i18n/collationdatawriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationfastlatin.cpp -o icu74/i18n/collationfastlatin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationfastlatinbuilder.cpp -o icu74/i18n/collationfastlatinbuilder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationfcd.cpp -o icu74/i18n/collationfcd.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationiterator.cpp -o icu74/i18n/collationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationkeys.cpp -o icu74/i18n/collationkeys.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationroot.cpp -o icu74/i18n/collationroot.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationrootelements.cpp -o icu74/i18n/collationrootelements.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationruleparser.cpp -o icu74/i18n/collationruleparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationsets.cpp -o icu74/i18n/collationsets.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationsettings.cpp -o icu74/i18n/collationsettings.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationtailoring.cpp -o icu74/i18n/collationtailoring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/collationweights.cpp -o icu74/i18n/collationweights.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/compactdecimalformat.cpp -o icu74/i18n/compactdecimalformat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/coptccal.cpp -o icu74/i18n/coptccal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/cpdtrans.cpp -o icu74/i18n/cpdtrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csdetect.cpp -o icu74/i18n/csdetect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csmatch.cpp -o icu74/i18n/csmatch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csr2022.cpp -o icu74/i18n/csr2022.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrecog.cpp -o icu74/i18n/csrecog.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrmbcs.cpp -o icu74/i18n/csrmbcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrsbcs.cpp -o icu74/i18n/csrsbcs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrucode.cpp -o icu74/i18n/csrucode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/csrutf8.cpp -o icu74/i18n/csrutf8.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/curramt.cpp -o icu74/i18n/curramt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/currfmt.cpp -o icu74/i18n/currfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/currpinf.cpp -o icu74/i18n/currpinf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/currunit.cpp -o icu74/i18n/currunit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dangical.cpp -o icu74/i18n/dangical.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/datefmt.cpp -o icu74/i18n/datefmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dayperiodrules.cpp -o icu74/i18n/dayperiodrules.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dcfmtsym.cpp -o icu74/i18n/dcfmtsym.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/decContext.cpp -o icu74/i18n/decContext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/decimfmt.cpp -o icu74/i18n/decimfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/decNumber.cpp -o icu74/i18n/decNumber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/displayoptions.cpp -o icu74/i18n/displayoptions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-bignum-dtoa.cpp -o icu74/i18n/double-conversion-bignum-dtoa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-bignum.cpp -o icu74/i18n/double-conversion-bignum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-cached-powers.cpp -o icu74/i18n/double-conversion-cached-powers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-double-to-string.cpp -o icu74/i18n/double-conversion-double-to-string.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-fast-dtoa.cpp -o icu74/i18n/double-conversion-fast-dtoa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-string-to-double.cpp -o icu74/i18n/double-conversion-string-to-double.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/double-conversion-strtod.cpp -o icu74/i18n/double-conversion-strtod.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtfmtsym.cpp -o icu74/i18n/dtfmtsym.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtitvfmt.cpp -o icu74/i18n/dtitvfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtitvinf.cpp -o icu74/i18n/dtitvinf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtptngen.cpp -o icu74/i18n/dtptngen.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/dtrule.cpp -o icu74/i18n/dtrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/erarules.cpp -o icu74/i18n/erarules.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/esctrn.cpp -o icu74/i18n/esctrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ethpccal.cpp -o icu74/i18n/ethpccal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fmtable_cnv.cpp -o icu74/i18n/fmtable_cnv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fmtable.cpp -o icu74/i18n/fmtable.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/format.cpp -o icu74/i18n/format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formatted_string_builder.cpp -o icu74/i18n/formatted_string_builder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formattedval_iterimpl.cpp -o icu74/i18n/formattedval_iterimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formattedval_sbimpl.cpp -o icu74/i18n/formattedval_sbimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/formattedvalue.cpp -o icu74/i18n/formattedvalue.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fphdlimp.cpp -o icu74/i18n/fphdlimp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/fpositer.cpp -o icu74/i18n/fpositer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/funcrepl.cpp -o icu74/i18n/funcrepl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/gender.cpp -o icu74/i18n/gender.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/gregocal.cpp -o icu74/i18n/gregocal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/gregoimp.cpp -o icu74/i18n/gregoimp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/hebrwcal.cpp -o icu74/i18n/hebrwcal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/indiancal.cpp -o icu74/i18n/indiancal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/inputext.cpp -o icu74/i18n/inputext.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/islamcal.cpp -o icu74/i18n/islamcal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/iso8601cal.cpp -o icu74/i18n/iso8601cal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/japancal.cpp -o icu74/i18n/japancal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/listformatter.cpp -o icu74/i18n/listformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measfmt.cpp -o icu74/i18n/measfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measunit_extra.cpp -o icu74/i18n/measunit_extra.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measunit.cpp -o icu74/i18n/measunit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/measure.cpp -o icu74/i18n/measure.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/msgfmt.cpp -o icu74/i18n/msgfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/name2uni.cpp -o icu74/i18n/name2uni.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nfrs.cpp -o icu74/i18n/nfrs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nfrule.cpp -o icu74/i18n/nfrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nfsubs.cpp -o icu74/i18n/nfsubs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nortrans.cpp -o icu74/i18n/nortrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/nultrans.cpp -o icu74/i18n/nultrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_affixutils.cpp -o icu74/i18n/number_affixutils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_asformat.cpp -o icu74/i18n/number_asformat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_capi.cpp -o icu74/i18n/number_capi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_compact.cpp -o icu74/i18n/number_compact.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_currencysymbols.cpp -o icu74/i18n/number_currencysymbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_decimalquantity.cpp -o icu74/i18n/number_decimalquantity.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_decimfmtprops.cpp -o icu74/i18n/number_decimfmtprops.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_fluent.cpp -o icu74/i18n/number_fluent.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_formatimpl.cpp -o icu74/i18n/number_formatimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_grouping.cpp -o icu74/i18n/number_grouping.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_integerwidth.cpp -o icu74/i18n/number_integerwidth.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_longnames.cpp -o icu74/i18n/number_longnames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_mapper.cpp -o icu74/i18n/number_mapper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_modifiers.cpp -o icu74/i18n/number_modifiers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_multiplier.cpp -o icu74/i18n/number_multiplier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_notation.cpp -o icu74/i18n/number_notation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_output.cpp -o icu74/i18n/number_output.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_padding.cpp -o icu74/i18n/number_padding.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_patternmodifier.cpp -o icu74/i18n/number_patternmodifier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_patternstring.cpp -o icu74/i18n/number_patternstring.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_rounding.cpp -o icu74/i18n/number_rounding.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_scientific.cpp -o icu74/i18n/number_scientific.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_simple.cpp -o icu74/i18n/number_simple.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_skeletons.cpp -o icu74/i18n/number_skeletons.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_symbolswrapper.cpp -o icu74/i18n/number_symbolswrapper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_usageprefs.cpp -o icu74/i18n/number_usageprefs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/number_utils.cpp -o icu74/i18n/number_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numfmt.cpp -o icu74/i18n/numfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_affixes.cpp -o icu74/i18n/numparse_affixes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_compositions.cpp -o icu74/i18n/numparse_compositions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_currency.cpp -o icu74/i18n/numparse_currency.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_decimal.cpp -o icu74/i18n/numparse_decimal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_impl.cpp -o icu74/i18n/numparse_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_parsednumber.cpp -o icu74/i18n/numparse_parsednumber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_scientific.cpp -o icu74/i18n/numparse_scientific.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_symbols.cpp -o icu74/i18n/numparse_symbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numparse_validators.cpp -o icu74/i18n/numparse_validators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numrange_capi.cpp -o icu74/i18n/numrange_capi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numrange_fluent.cpp -o icu74/i18n/numrange_fluent.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numrange_impl.cpp -o icu74/i18n/numrange_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/numsys.cpp -o icu74/i18n/numsys.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/olsontz.cpp -o icu74/i18n/olsontz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/persncal.cpp -o icu74/i18n/persncal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/pluralranges.cpp -o icu74/i18n/pluralranges.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/plurfmt.cpp -o icu74/i18n/plurfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/plurrule.cpp -o icu74/i18n/plurrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/quant.cpp -o icu74/i18n/quant.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/quantityformatter.cpp -o icu74/i18n/quantityformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbnf.cpp -o icu74/i18n/rbnf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_data.cpp -o icu74/i18n/rbt_data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_pars.cpp -o icu74/i18n/rbt_pars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_rule.cpp -o icu74/i18n/rbt_rule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt_set.cpp -o icu74/i18n/rbt_set.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbt.cpp -o icu74/i18n/rbt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rbtz.cpp -o icu74/i18n/rbtz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regexcmp.cpp -o icu74/i18n/regexcmp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regeximp.cpp -o icu74/i18n/regeximp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regexst.cpp -o icu74/i18n/regexst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/regextxt.cpp -o icu74/i18n/regextxt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/region.cpp -o icu74/i18n/region.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/reldatefmt.cpp -o icu74/i18n/reldatefmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/reldtfmt.cpp -o icu74/i18n/reldtfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rematch.cpp -o icu74/i18n/rematch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/remtrans.cpp -o icu74/i18n/remtrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/repattrn.cpp -o icu74/i18n/repattrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/rulebasedcollator.cpp -o icu74/i18n/rulebasedcollator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/scientificnumberformatter.cpp -o icu74/i18n/scientificnumberformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/scriptset.cpp -o icu74/i18n/scriptset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/search.cpp -o icu74/i18n/search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/selfmt.cpp -o icu74/i18n/selfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/sharedbreakiterator.cpp -o icu74/i18n/sharedbreakiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/simpletz.cpp -o icu74/i18n/simpletz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/smpdtfmt.cpp -o icu74/i18n/smpdtfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/smpdtfst.cpp -o icu74/i18n/smpdtfst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/sortkey.cpp -o icu74/i18n/sortkey.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/standardplural.cpp -o icu74/i18n/standardplural.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/string_segment.cpp -o icu74/i18n/string_segment.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/strmatch.cpp -o icu74/i18n/strmatch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/strrepl.cpp -o icu74/i18n/strrepl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/stsearch.cpp -o icu74/i18n/stsearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/taiwncal.cpp -o icu74/i18n/taiwncal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/timezone.cpp -o icu74/i18n/timezone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/titletrn.cpp -o icu74/i18n/titletrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tmunit.cpp -o icu74/i18n/tmunit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tmutamt.cpp -o icu74/i18n/tmutamt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tmutfmt.cpp -o icu74/i18n/tmutfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tolowtrn.cpp -o icu74/i18n/tolowtrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/toupptrn.cpp -o icu74/i18n/toupptrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/translit.cpp -o icu74/i18n/translit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/transreg.cpp -o icu74/i18n/transreg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tridpars.cpp -o icu74/i18n/tridpars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tzfmt.cpp -o icu74/i18n/tzfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tzgnames.cpp -o icu74/i18n/tzgnames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tznames_impl.cpp -o icu74/i18n/tznames_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tznames.cpp -o icu74/i18n/tznames.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tzrule.cpp -o icu74/i18n/tzrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/tztrans.cpp -o icu74/i18n/tztrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucal.cpp -o icu74/i18n/ucal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucln_in.cpp -o icu74/i18n/ucln_in.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucol_res.cpp -o icu74/i18n/ucol_res.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucol_sit.cpp -o icu74/i18n/ucol_sit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucol.cpp -o icu74/i18n/ucol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucoleitr.cpp -o icu74/i18n/ucoleitr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ucsdet.cpp -o icu74/i18n/ucsdet.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/udat.cpp -o icu74/i18n/udat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/udateintervalformat.cpp -o icu74/i18n/udateintervalformat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/udatpg.cpp -o icu74/i18n/udatpg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ufieldpositer.cpp -o icu74/i18n/ufieldpositer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uitercollationiterator.cpp -o icu74/i18n/uitercollationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ulistformatter.cpp -o icu74/i18n/ulistformatter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ulocdata.cpp -o icu74/i18n/ulocdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/umsg.cpp -o icu74/i18n/umsg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/unesctrn.cpp -o icu74/i18n/unesctrn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uni2name.cpp -o icu74/i18n/uni2name.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_complexconverter.cpp -o icu74/i18n/units_complexconverter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_converter.cpp -o icu74/i18n/units_converter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_data.cpp -o icu74/i18n/units_data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/units_router.cpp -o icu74/i18n/units_router.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/unum.cpp -o icu74/i18n/unum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/unumsys.cpp -o icu74/i18n/unumsys.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/upluralrules.cpp -o icu74/i18n/upluralrules.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uregex.cpp -o icu74/i18n/uregex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uregexc.cpp -o icu74/i18n/uregexc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uregion.cpp -o icu74/i18n/uregion.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/usearch.cpp -o icu74/i18n/usearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof_build.cpp -o icu74/i18n/uspoof_build.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof_conf.cpp -o icu74/i18n/uspoof_conf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof_impl.cpp -o icu74/i18n/uspoof_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/uspoof.cpp -o icu74/i18n/uspoof.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utf16collationiterator.cpp -o icu74/i18n/utf16collationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utf8collationiterator.cpp -o icu74/i18n/utf8collationiterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utmscale.cpp -o icu74/i18n/utmscale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/utrans.cpp -o icu74/i18n/utrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/vtzone.cpp -o icu74/i18n/vtzone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/vzone.cpp -o icu74/i18n/vzone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/windtfmt.cpp -o icu74/i18n/windtfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/winnmfmt.cpp -o icu74/i18n/winnmfmt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/wintzimpl.cpp -o icu74/i18n/wintzimpl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/zonemeta.cpp -o icu74/i18n/zonemeta.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/zrule.cpp -o icu74/i18n/zrule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/i18n/ztrans.cpp -o icu74/i18n/ztrans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -Iicu74 -Iicu74/unicode -Iicu74/common -Iicu74/i18n -DU_STATIC_IMPLEMENTATION -DU_COMMON_IMPLEMENTATION -DU_I18N_IMPLEMENTATION -D_REENTRANT -DUCONFIG_USE_LOCAL -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icu74/stubdata/stubdata.cpp -o icu74/stubdata/stubdata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o stringi.so stri_brkiter.o stri_callables.o stri_collator.o stri_common.o stri_compare.o stri_container_base.o stri_container_bytesearch.o stri_container_listint.o stri_container_listraw.o stri_container_listutf8.o stri_container_regex.o stri_container_usearch.o stri_container_utf16.o stri_container_utf8.o stri_container_utf8_indexable.o stri_encoding_conversion.o stri_encoding_detection.o stri_encoding_management.o stri_escape.o stri_exception.o stri_ICU_settings.o stri_join.o stri_length.o stri_pad.o stri_prepare_arg.o stri_random.o stri_reverse.o stri_search_class_count.o stri_search_class_detect.o stri_search_class_extract.o stri_search_class_locate.o stri_search_class_replace.o stri_search_class_split.o stri_search_class_startsendswith.o stri_search_class_subset.o stri_search_class_trim.o stri_search_common.o stri_search_coll_count.o stri_search_coll_detect.o stri_search_coll_extract.o stri_search_coll_locate.o stri_search_coll_replace.o stri_search_coll_split.o stri_search_coll_startsendswith.o stri_search_coll_subset.o stri_search_boundaries_count.o stri_search_boundaries_extract.o stri_search_boundaries_locate.o stri_search_boundaries_split.o stri_search_fixed_count.o stri_search_fixed_detect.o stri_search_fixed_extract.o stri_search_fixed_locate.o stri_search_fixed_replace.o stri_search_fixed_split.o stri_search_fixed_subset.o stri_search_fixed_startsendswith.o stri_search_in.o stri_search_other_split.o stri_search_regex_count.o stri_search_regex_detect.o stri_search_regex_extract.o stri_search_regex_locate.o stri_search_regex_match.o stri_search_regex_replace.o stri_search_regex_split.o stri_search_regex_subset.o stri_sort.o stri_sprintf.o stri_stats.o stri_string8.o stri_stringi.o stri_sub.o stri_test.o stri_time_zone.o stri_time_calendar.o stri_time_symbols.o stri_time_format.o stri_trans_casemap.o stri_trans_other.o stri_trans_normalization.o stri_trans_transliterate.o stri_ucnv.o stri_uloc.o stri_utils.o stri_wrap.o icu74/common/appendable.o icu74/common/bmpset.o icu74/common/brkeng.o icu74/common/brkiter.o icu74/common/bytesinkutil.o icu74/common/bytestream.o icu74/common/bytestrie.o icu74/common/bytestriebuilder.o icu74/common/bytestrieiterator.o icu74/common/caniter.o icu74/common/characterproperties.o icu74/common/chariter.o icu74/common/charstr.o icu74/common/cmemory.o icu74/common/cstr.o icu74/common/cstring.o icu74/common/cwchar.o icu74/common/dictbe.o icu74/common/dictionarydata.o icu74/common/dtintrv.o icu74/common/edits.o icu74/common/emojiprops.o icu74/common/errorcode.o icu74/common/filteredbrk.o icu74/common/filterednormalizer2.o icu74/common/icudataver.o icu74/common/icuplug.o icu74/common/loadednormalizer2impl.o icu74/common/localebuilder.o icu74/common/localematcher.o icu74/common/localeprioritylist.o icu74/common/locavailable.o icu74/common/locbased.o icu74/common/locdispnames.o icu74/common/locdistance.o icu74/common/locdspnm.o icu74/common/locid.o icu74/common/loclikely.o icu74/common/loclikelysubtags.o icu74/common/locmap.o icu74/common/locresdata.o icu74/common/locutil.o icu74/common/lsr.o icu74/common/lstmbe.o icu74/common/messagepattern.o icu74/common/mlbe.o icu74/common/normalizer2.o icu74/common/normalizer2impl.o icu74/common/normlzr.o icu74/common/parsepos.o icu74/common/patternprops.o icu74/common/pluralmap.o icu74/common/propname.o icu74/common/propsvec.o icu74/common/punycode.o icu74/common/putil.o icu74/common/rbbi_cache.o icu74/common/rbbi.o icu74/common/rbbidata.o icu74/common/rbbinode.o icu74/common/rbbirb.o icu74/common/rbbiscan.o icu74/common/rbbisetb.o icu74/common/rbbistbl.o icu74/common/rbbitblb.o icu74/common/resbund_cnv.o icu74/common/resbund.o icu74/common/resource.o icu74/common/restrace.o icu74/common/ruleiter.o icu74/common/schriter.o icu74/common/serv.o icu74/common/servlk.o icu74/common/servlkf.o icu74/common/servls.o icu74/common/servnotf.o icu74/common/servrbf.o icu74/common/servslkf.o icu74/common/sharedobject.o icu74/common/simpleformatter.o icu74/common/static_unicode_sets.o icu74/common/stringpiece.o icu74/common/stringtriebuilder.o icu74/common/uarrsort.o icu74/common/ubidi_props.o icu74/common/ubidi.o icu74/common/ubidiln.o icu74/common/ubiditransform.o icu74/common/ubidiwrt.o icu74/common/ubrk.o icu74/common/ucase.o icu74/common/ucasemap_titlecase_brkiter.o icu74/common/ucasemap.o icu74/common/ucat.o icu74/common/uchar.o icu74/common/ucharstrie.o icu74/common/ucharstriebuilder.o icu74/common/ucharstrieiterator.o icu74/common/uchriter.o icu74/common/ucln_cmn.o icu74/common/ucmndata.o icu74/common/ucnv_bld.o icu74/common/ucnv_cb.o icu74/common/ucnv_cnv.o icu74/common/ucnv_ct.o icu74/common/ucnv_err.o icu74/common/ucnv_ext.o icu74/common/ucnv_io.o icu74/common/ucnv_lmb.o icu74/common/ucnv_set.o icu74/common/ucnv_u16.o icu74/common/ucnv_u32.o icu74/common/ucnv_u7.o icu74/common/ucnv_u8.o icu74/common/ucnv.o icu74/common/ucnv2022.o icu74/common/ucnvbocu.o icu74/common/ucnvdisp.o icu74/common/ucnvhz.o icu74/common/ucnvisci.o icu74/common/ucnvlat1.o icu74/common/ucnvmbcs.o icu74/common/ucnvscsu.o icu74/common/ucnvsel.o icu74/common/ucol_swp.o icu74/common/ucptrie.o icu74/common/ucurr.o icu74/common/udata.o icu74/common/udatamem.o icu74/common/udataswp.o icu74/common/uenum.o icu74/common/uhash_us.o icu74/common/uhash.o icu74/common/uidna.o icu74/common/uinit.o icu74/common/uinvchar.o icu74/common/uiter.o icu74/common/ulist.o icu74/common/uloc_keytype.o icu74/common/uloc_tag.o icu74/common/uloc.o icu74/common/ulocale.o icu74/common/ulocbuilder.o icu74/common/umapfile.o icu74/common/umath.o icu74/common/umutablecptrie.o icu74/common/umutex.o icu74/common/unames.o icu74/common/unifiedcache.o icu74/common/unifilt.o icu74/common/unifunct.o icu74/common/uniset_closure.o icu74/common/uniset_props.o icu74/common/uniset.o icu74/common/unisetspan.o icu74/common/unistr_case_locale.o icu74/common/unistr_case.o icu74/common/unistr_cnv.o icu74/common/unistr_props.o icu74/common/unistr_titlecase_brkiter.o icu74/common/unistr.o icu74/common/unorm.o icu74/common/unormcmp.o icu74/common/uobject.o icu74/common/uprops.o icu74/common/ures_cnv.o icu74/common/uresbund.o icu74/common/uresdata.o icu74/common/usc_impl.o icu74/common/uscript_props.o icu74/common/uscript.o icu74/common/uset_props.o icu74/common/uset.o icu74/common/usetiter.o icu74/common/ushape.o icu74/common/usprep.o icu74/common/ustack.o icu74/common/ustr_cnv.o icu74/common/ustr_titlecase_brkiter.o icu74/common/ustr_wcs.o icu74/common/ustrcase_locale.o icu74/common/ustrcase.o icu74/common/ustrenum.o icu74/common/ustrfmt.o icu74/common/ustring.o icu74/common/ustrtrns.o icu74/common/utext.o icu74/common/utf_impl.o icu74/common/util_props.o icu74/common/util.o icu74/common/utrace.o icu74/common/utrie_swap.o icu74/common/utrie.o icu74/common/utrie2_builder.o icu74/common/utrie2.o icu74/common/uts46.o icu74/common/utypes.o icu74/common/uvector.o icu74/common/uvectr32.o icu74/common/uvectr64.o icu74/common/wintz.o icu74/i18n/alphaindex.o icu74/i18n/anytrans.o icu74/i18n/astro.o icu74/i18n/basictz.o icu74/i18n/bocsu.o icu74/i18n/brktrans.o icu74/i18n/buddhcal.o icu74/i18n/calendar.o icu74/i18n/casetrn.o icu74/i18n/cecal.o icu74/i18n/chnsecal.o icu74/i18n/choicfmt.o icu74/i18n/coleitr.o icu74/i18n/coll.o icu74/i18n/collation.o icu74/i18n/collationbuilder.o icu74/i18n/collationcompare.o icu74/i18n/collationdata.o icu74/i18n/collationdatabuilder.o icu74/i18n/collationdatareader.o icu74/i18n/collationdatawriter.o icu74/i18n/collationfastlatin.o icu74/i18n/collationfastlatinbuilder.o icu74/i18n/collationfcd.o icu74/i18n/collationiterator.o icu74/i18n/collationkeys.o icu74/i18n/collationroot.o icu74/i18n/collationrootelements.o icu74/i18n/collationruleparser.o icu74/i18n/collationsets.o icu74/i18n/collationsettings.o icu74/i18n/collationtailoring.o icu74/i18n/collationweights.o icu74/i18n/compactdecimalformat.o icu74/i18n/coptccal.o icu74/i18n/cpdtrans.o icu74/i18n/csdetect.o icu74/i18n/csmatch.o icu74/i18n/csr2022.o icu74/i18n/csrecog.o icu74/i18n/csrmbcs.o icu74/i18n/csrsbcs.o icu74/i18n/csrucode.o icu74/i18n/csrutf8.o icu74/i18n/curramt.o icu74/i18n/currfmt.o icu74/i18n/currpinf.o icu74/i18n/currunit.o icu74/i18n/dangical.o icu74/i18n/datefmt.o icu74/i18n/dayperiodrules.o icu74/i18n/dcfmtsym.o icu74/i18n/decContext.o icu74/i18n/decimfmt.o icu74/i18n/decNumber.o icu74/i18n/displayoptions.o icu74/i18n/double-conversion-bignum-dtoa.o icu74/i18n/double-conversion-bignum.o icu74/i18n/double-conversion-cached-powers.o icu74/i18n/double-conversion-double-to-string.o icu74/i18n/double-conversion-fast-dtoa.o icu74/i18n/double-conversion-string-to-double.o icu74/i18n/double-conversion-strtod.o icu74/i18n/dtfmtsym.o icu74/i18n/dtitvfmt.o icu74/i18n/dtitvinf.o icu74/i18n/dtptngen.o icu74/i18n/dtrule.o icu74/i18n/erarules.o icu74/i18n/esctrn.o icu74/i18n/ethpccal.o icu74/i18n/fmtable_cnv.o icu74/i18n/fmtable.o icu74/i18n/format.o icu74/i18n/formatted_string_builder.o icu74/i18n/formattedval_iterimpl.o icu74/i18n/formattedval_sbimpl.o icu74/i18n/formattedvalue.o icu74/i18n/fphdlimp.o icu74/i18n/fpositer.o icu74/i18n/funcrepl.o icu74/i18n/gender.o icu74/i18n/gregocal.o icu74/i18n/gregoimp.o icu74/i18n/hebrwcal.o icu74/i18n/indiancal.o icu74/i18n/inputext.o icu74/i18n/islamcal.o icu74/i18n/iso8601cal.o icu74/i18n/japancal.o icu74/i18n/listformatter.o icu74/i18n/measfmt.o icu74/i18n/measunit_extra.o icu74/i18n/measunit.o icu74/i18n/measure.o icu74/i18n/msgfmt.o icu74/i18n/name2uni.o icu74/i18n/nfrs.o icu74/i18n/nfrule.o icu74/i18n/nfsubs.o icu74/i18n/nortrans.o icu74/i18n/nultrans.o icu74/i18n/number_affixutils.o icu74/i18n/number_asformat.o icu74/i18n/number_capi.o icu74/i18n/number_compact.o icu74/i18n/number_currencysymbols.o icu74/i18n/number_decimalquantity.o icu74/i18n/number_decimfmtprops.o icu74/i18n/number_fluent.o icu74/i18n/number_formatimpl.o icu74/i18n/number_grouping.o icu74/i18n/number_integerwidth.o icu74/i18n/number_longnames.o icu74/i18n/number_mapper.o icu74/i18n/number_modifiers.o icu74/i18n/number_multiplier.o icu74/i18n/number_notation.o icu74/i18n/number_output.o icu74/i18n/number_padding.o icu74/i18n/number_patternmodifier.o icu74/i18n/number_patternstring.o icu74/i18n/number_rounding.o icu74/i18n/number_scientific.o icu74/i18n/number_simple.o icu74/i18n/number_skeletons.o icu74/i18n/number_symbolswrapper.o icu74/i18n/number_usageprefs.o icu74/i18n/number_utils.o icu74/i18n/numfmt.o icu74/i18n/numparse_affixes.o icu74/i18n/numparse_compositions.o icu74/i18n/numparse_currency.o icu74/i18n/numparse_decimal.o icu74/i18n/numparse_impl.o icu74/i18n/numparse_parsednumber.o icu74/i18n/numparse_scientific.o icu74/i18n/numparse_symbols.o icu74/i18n/numparse_validators.o icu74/i18n/numrange_capi.o icu74/i18n/numrange_fluent.o icu74/i18n/numrange_impl.o icu74/i18n/numsys.o icu74/i18n/olsontz.o icu74/i18n/persncal.o icu74/i18n/pluralranges.o icu74/i18n/plurfmt.o icu74/i18n/plurrule.o icu74/i18n/quant.o icu74/i18n/quantityformatter.o icu74/i18n/rbnf.o icu74/i18n/rbt_data.o icu74/i18n/rbt_pars.o icu74/i18n/rbt_rule.o icu74/i18n/rbt_set.o icu74/i18n/rbt.o icu74/i18n/rbtz.o icu74/i18n/regexcmp.o icu74/i18n/regeximp.o icu74/i18n/regexst.o icu74/i18n/regextxt.o icu74/i18n/region.o icu74/i18n/reldatefmt.o icu74/i18n/reldtfmt.o icu74/i18n/rematch.o icu74/i18n/remtrans.o icu74/i18n/repattrn.o icu74/i18n/rulebasedcollator.o icu74/i18n/scientificnumberformatter.o icu74/i18n/scriptset.o icu74/i18n/search.o icu74/i18n/selfmt.o icu74/i18n/sharedbreakiterator.o icu74/i18n/simpletz.o icu74/i18n/smpdtfmt.o icu74/i18n/smpdtfst.o icu74/i18n/sortkey.o icu74/i18n/standardplural.o icu74/i18n/string_segment.o icu74/i18n/strmatch.o icu74/i18n/strrepl.o icu74/i18n/stsearch.o icu74/i18n/taiwncal.o icu74/i18n/timezone.o icu74/i18n/titletrn.o icu74/i18n/tmunit.o icu74/i18n/tmutamt.o icu74/i18n/tmutfmt.o icu74/i18n/tolowtrn.o icu74/i18n/toupptrn.o icu74/i18n/translit.o icu74/i18n/transreg.o icu74/i18n/tridpars.o icu74/i18n/tzfmt.o icu74/i18n/tzgnames.o icu74/i18n/tznames_impl.o icu74/i18n/tznames.o icu74/i18n/tzrule.o icu74/i18n/tztrans.o icu74/i18n/ucal.o icu74/i18n/ucln_in.o icu74/i18n/ucol_res.o icu74/i18n/ucol_sit.o icu74/i18n/ucol.o icu74/i18n/ucoleitr.o icu74/i18n/ucsdet.o icu74/i18n/udat.o icu74/i18n/udateintervalformat.o icu74/i18n/udatpg.o icu74/i18n/ufieldpositer.o icu74/i18n/uitercollationiterator.o icu74/i18n/ulistformatter.o icu74/i18n/ulocdata.o icu74/i18n/umsg.o icu74/i18n/unesctrn.o icu74/i18n/uni2name.o icu74/i18n/units_complexconverter.o icu74/i18n/units_converter.o icu74/i18n/units_data.o icu74/i18n/units_router.o icu74/i18n/unum.o icu74/i18n/unumsys.o icu74/i18n/upluralrules.o icu74/i18n/uregex.o icu74/i18n/uregexc.o icu74/i18n/uregion.o icu74/i18n/usearch.o icu74/i18n/uspoof_build.o icu74/i18n/uspoof_conf.o icu74/i18n/uspoof_impl.o icu74/i18n/uspoof.o icu74/i18n/utf16collationiterator.o icu74/i18n/utf8collationiterator.o icu74/i18n/utmscale.o icu74/i18n/utrans.o icu74/i18n/vtzone.o icu74/i18n/vzone.o icu74/i18n/windtfmt.o icu74/i18n/winnmfmt.o icu74/i18n/wintzimpl.o icu74/i18n/zonemeta.o icu74/i18n/zrule.o icu74/i18n/ztrans.o icu74/stubdata/stubdata.o installing via 'install.libs.R' to /tmp/th798/27261227/R-release/841/library/00LOCK-stringi/00new/stringi icu74/data/icudt74l.dat.xz exists decompressing icu74/data/icudt74l.dat.xz to: /tmp/th798/27261227/R-release/841/library/00LOCK-stringi/00new/stringi/libs icu74/data/icudt74l.dat installed successfully ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stringi) * installing *source* package 'labeling' ... ** this is package 'labeling' version '0.4.3' ** package 'labeling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (labeling) * installing *source* package 'fastmap' ... ** this is package 'fastmap' version '1.2.0' ** package 'fastmap' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilib/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmap.cpp -o fastmap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Ilib/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fastmap.so fastmap.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-fastmap/00new/fastmap/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fastmap) * installing *source* package 'mime' ... ** this is package 'mime' version '0.13' ** package 'mime' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rawmatch.c -o rawmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mime.so init.o rawmatch.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mime/00new/mime/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mime) * installing *source* package 'otel' ... ** this is package 'otel' version '0.2.0' ** package 'otel' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (otel) * installing *source* package 'sourcetools' ... ** this is package 'sourcetools' version '0.1.7-1' ** package 'sourcetools' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Reader.cpp -o Reader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Tokenizer.cpp -o Tokenizer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sourcetools-init.c -o sourcetools-init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sourcetools.so Reader.o Tokenizer.o sourcetools-init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-sourcetools/00new/sourcetools/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sourcetools) * installing *source* package 'lazyeval' ... ** this is package 'lazyeval' version '0.2.2' ** package 'lazyeval' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expr.c -o expr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interp.c -o interp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lazy.c -o lazy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c name.c -o name.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lazyeval.so expr.o init.o interp.o lazy.o name.o utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lazyeval/00new/lazyeval/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lazyeval) * installing *source* package 'perm' ... ** this is package 'perm' version '1.0-0.4' ** package 'perm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (perm) * installing *source* package 'MLEcens' ... ** this is package 'MLEcens' version '0.1-7.1' ** package 'MLEcens' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MLEcens_init.c -o MLEcens_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c canon2real.c -o canon2real.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c computeMLE.c -o computeMLE.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c real2canon.c -o real2canon.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reduc.c -o reduc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o MLEcens.so MLEcens_init.o canon2real.o computeMLE.o real2canon.o reduc.o util.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-MLEcens/00new/MLEcens/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MLEcens) * installing *source* package 'rbibutils' ... ** this is package 'rbibutils' version '2.4.1' ** package 'rbibutils' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c adsout.c -o adsout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any2xml.c -o any2xml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c args.c -o args.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bib2be.c -o bib2be.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibcore.c -o bibcore.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibentrydirectout.c -o bibentrydirectout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibentryout.c -o bibentryout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibl.c -o bibl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c biblatexin.c -o biblatexin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c biblatexout.c -o biblatexout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibprog.c -o bibprog.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtexdirectin.c -o bibtexdirectin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtexin.c -o bibtexin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtexout.c -o bibtexout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibtextypes.c -o bibtextypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bibutils.c -o bibutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bltypes.c -o bltypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bu_auth.c -o bu_auth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c charsets.c -o charsets.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_be_bed.c -o common_be_bed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_blt_btd_out.c -o common_bt_blt_btd_out.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_btd.c -o common_bt_btd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_btd_blt.c -o common_bt_btd_blt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_bt_btd_out.c -o common_bt_btd_out.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common_most.c -o common_most.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c copacin.c -o copacin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c copactypes.c -o copactypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ebiin.c -o ebiin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endin.c -o endin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endout.c -o endout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endtypes.c -o endtypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endxmlin.c -o endxmlin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c entities.c -o entities.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fields.c -o fields.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gb18030.c -o gb18030.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c generic.c -o generic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c intlist.c -o intlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_ws.c -o is_ws.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isiin.c -o isiin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isiout.c -o isiout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isitypes.c -o isitypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso639_1.c -o iso639_1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso639_2.c -o iso639_2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso639_3.c -o iso639_3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c latex.c -o latex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c latex_parse.c -o latex_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c marc_auth.c -o marc_auth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c medin.c -o medin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modsin.c -o modsin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modsout.c -o modsout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modstypes.c -o modstypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c name.c -o name.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nbibin.c -o nbibin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nbibout.c -o nbibout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nbibtypes.c -o nbibtypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c notes.c -o notes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pages.c -o pages.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reftypes.c -o reftypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c risin.c -o risin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c risout.c -o risout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ristypes.c -o ristypes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c serialno.c -o serialno.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slist.c -o slist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c str.c -o str.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c str_conv.c -o str_conv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c strsearch.c -o strsearch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c title.c -o title.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tomods.c -o tomods.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type.c -o type.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unicode.c -o unicode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c url.c -o url.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vplist.c -o vplist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wordin.c -o wordin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wordout.c -o wordout.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml.c -o xml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2any.c -o xml2any.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml_encoding.c -o xml_encoding.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rbibutils.so adsout.o any2xml.o args.o bib2be.o bibcore.o bibentrydirectout.o bibentryout.o bibl.o biblatexin.o biblatexout.o bibprog.o bibtexdirectin.o bibtexin.o bibtexout.o bibtextypes.o bibutils.o bltypes.o bu_auth.o charsets.o common_be_bed.o common_bt_blt_btd_out.o common_bt_btd.o common_bt_btd_blt.o common_bt_btd_out.o common_most.o copacin.o copactypes.o ebiin.o endin.o endout.o endtypes.o endxmlin.o entities.o fields.o gb18030.o generic.o init.o intlist.o is_ws.o isiin.o isiout.o isitypes.o iso639_1.o iso639_2.o iso639_3.o latex.o latex_parse.o marc_auth.o medin.o modsin.o modsout.o modstypes.o name.o nbibin.o nbibout.o nbibtypes.o notes.o pages.o reftypes.o risin.o risout.o ristypes.o serialno.o slist.o str.o str_conv.o strsearch.o title.o tomods.o type.o unicode.o url.o utf8.o vplist.o wordin.o wordout.o xml.o xml2any.o xml_encoding.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rbibutils/00new/rbibutils/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rbibutils) * installing *source* package 'brio' ... ** this is package 'brio' version '1.1.5' ** package 'brio' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brio.c -o brio.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file_line_endings.c -o file_line_endings.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file.c -o read_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file_raw.c -o read_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_lines.c -o read_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file.c -o write_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file_raw.c -o write_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_lines.c -o write_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brio.so brio.o file_line_endings.o init.o read_file.o read_file_raw.o read_lines.o write_file.o write_file_raw.o write_lines.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-brio/00new/brio/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brio) * installing *source* package 'praise' ... ** this is package 'praise' version '1.0.0' ** package 'praise' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (praise) * installing *source* package 'ps' ... ** this is package 'ps' version '1.9.1' ** package 'ps' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall px.c -o px /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-common.c -o api-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common.c -o common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extra.c -o extra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error-codes.c -o error-codes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c posix.c -o posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-posix.c -o api-posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c linux.c -o linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-linux.c -o api-linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ps.so init.o api-common.o common.o extra.o dummy.o error-codes.o cleancall.o posix.o api-posix.o linux.o api-linux.o installing via 'install.libs.R' to /tmp/th798/27261227/R-release/841/library/00LOCK-ps/00new/ps ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ps) * installing *source* package 'iterators' ... ** this is package 'iterators' version '1.0.14' ** package 'iterators' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iterators) * installing *source* package 'zigg' ... ** this is package 'zigg' version '0.0.2' ** package 'zigg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ziggurat.cpp -o ziggurat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o zigg.so init.o ziggurat.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-zigg/00new/zigg/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zigg) * installing *source* package 'clipr' ... ** this is package 'clipr' version '0.8.0' ** package 'clipr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clipr) * installing *source* package 'crayon' ... ** this is package 'crayon' version '1.5.3' ** package 'crayon' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crayon) * installing *source* package 'operator.tools' ... ** this is package 'operator.tools' version '1.6.3.1' ** package 'operator.tools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (operator.tools) * installing *source* package 'shape' ... ** this is package 'shape' version '1.4.6.1' ** package 'shape' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shape) * installing *source* package 'pan' ... ** this is package 'pan' version '1.9' ** package 'pan' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c package_native_routine_registration_skeleton.c -o package_native_routine_registration_skeleton.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pan.f -o pan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pan.so package_native_routine_registration_skeleton.o pan.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-pan/00new/pan/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pan) * installing *source* package 'mlbench' ... ** this is package 'mlbench' version '2.1-7' ** package 'mlbench' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c waveform.c -o waveform.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlbench.so init.o waveform.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mlbench/00new/mlbench/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlbench) * installing *source* package 'palmerpenguins' ... ** this is package 'palmerpenguins' version '0.1.1' ** package 'palmerpenguins' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (palmerpenguins) * installing *source* package 'uuid' ... ** this is package 'uuid' version '1.2-2' ** package 'uuid' successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for grp.h... yes checking for langinfo.h... yes checking for locale.h... yes checking for netinet/in.h... yes checking for stdlib.h... (cached) yes checking for sys/file.h... yes checking for sys/ioctl.h... yes checking for sys/socket.h... yes checking for sys/sockio.h... no checking for sys/syscall.h... yes checking for sys/sendfile.h... yes checking for sys/time.h... yes checking for sys/un.h... yes checking for unistd.h... (cached) yes checking for net/if.h... yes checking for net/if_dl.h... no checking for dirfd... yes checking for err... yes checking for errx... yes checking for getexecname... no checking for getrandom... yes checking for jrand48... yes checking for llseek... no checking for lchown... yes checking for mempcpy... yes checking for mkostemp... yes checking for nanosleep... yes checking for sendfile... yes checking for srandom... yes checking for strnchr... no checking for strndup... yes checking for strnlen... yes checking for usleep... yes checking for warn... yes checking for warnx... yes checking for flock... yes checking for struct sockaddr.sa_len... no checking for dlfcn.h... yes checking for library containing dlsym... -ldl checking for thread local storage (TLS) support... yes configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R.c -o R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Ruuid.c -o Ruuid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clear.c -o clear.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compare.c -o compare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c copy.c -o copy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gen_uuid.c -o gen_uuid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isnull.c -o isnull.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pack.c -o pack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rand.c -o rand.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c randutils.c -o randutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unpack.c -o unpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -include config.h -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unparse.c -o unparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o uuid.so R.o Ruuid.o clear.o compare.o copy.o gen_uuid.o isnull.o md5.o pack.o parse.o rand.o randutils.o sha1.o unpack.o unparse.o -ldl installing to /tmp/th798/27261227/R-release/841/library/00LOCK-uuid/00new/uuid/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (uuid) * installing *source* package 'fansi' ... ** this is package 'fansi' version '1.0.7' ** package 'fansi' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assumptions.c -o assumptions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c carry.c -o carry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c has.c -o has.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nchar.c -o nchar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c normalize.c -o normalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.c -o read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c state.c -o state.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c strip.c -o strip.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c substr.c -o substr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tabs.c -o tabs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tohtml.c -o tohtml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trimws.c -o trimws.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unhandled.c -o unhandled.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c width.c -o width.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrap.c -o wrap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.c -o write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fansi.so assumptions.o carry.o has.o init.o nchar.o normalize.o read.o state.o strip.o substr.o tabs.o tohtml.o trimws.o unhandled.o utf8.o utils.o width.o wrap.o write.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-fansi/00new/fansi/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fansi) * installing *source* package 'expm' ... ** this is package 'expm' version '1.0-0' ** package 'expm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_dgebal.c -o R_dgebal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expm-eigen.c -o expm-eigen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expm.c -o expm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logm-eigen.c -o logm-eigen.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matexp.f -o matexp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matexp_MH09.c -o matexp_MH09.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matpow.c -o matpow.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matrexp.f -o matrexp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matrexpO.f -o matrexpO.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mexp-common.f -o mexp-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o expm.so R_dgebal.o expm-eigen.o expm.o init.o logm-eigen.o matexp.o matexp_MH09.o matpow.o matrexp.o matrexpO.o mexp-common.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-expm/00new/expm/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (expm) * installing *source* package 'pracma' ... ** this is package 'pracma' version '2.4.6' ** package 'pracma' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pracma) * installing *source* package 'warp' ... ** this is package 'warp' version '0.2.3' ** package 'warp' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boundary.c -o boundary.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c change.c -o change.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coercion.c -o coercion.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c date.c -o date.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distance.c -o distance.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c divmod.c -o divmod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get.c -o get.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timezone.c -o timezone.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o warp.so boundary.o change.o coercion.o date.o distance.o divmod.o get.o init.o timezone.o utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-warp/00new/warp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (warp) * installing *source* package 'gtools' ... ** this is package 'gtools' version '3.9.5' ** package 'gtools' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c roman2int.c -o roman2int.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c setTCPNoDelay.c -o setTCPNoDelay.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gtools.so init.o roman2int.o setTCPNoDelay.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-gtools/00new/gtools/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gtools) * installing *source* package 'DiceDesign' ... ** this is package 'DiceDesign' version '1.10' ** package 'DiceDesign' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c C_StraussDesign.c -o C_StraussDesign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c C_rss.c -o C_rss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DiceDesign_init.c -o DiceDesign_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DiceDesign.so C_StraussDesign.o C_rss.o DiceDesign_init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-DiceDesign/00new/DiceDesign/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DiceDesign) * installing *source* package 'gower' ... ** this is package 'gower' version '1.0.2' ** package 'gower' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_register_native.c -o R_register_native.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gower.c -o gower.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gower.so R_register_native.o gower.o -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-gower/00new/gower/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gower) * installing *source* package 'timeDate' ... ** this is package 'timeDate' version '4052.112' ** package 'timeDate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'sample' from package 'base' in package 'timeDate' Creating a generic function for 'getDataPart' from package 'methods' in package 'timeDate' Creating a generic function for 'abline' from package 'graphics' in package 'timeDate' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (timeDate) * installing *source* package 'zoo' ... ** this is package 'zoo' version '1.8-15' ** package 'zoo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coredata.c -o coredata.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lag.c -o lag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o zoo.so coredata.o init.o lag.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-zoo/00new/zoo/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zoo) * installing *source* package 'Rcpp' ... ** this is package 'Rcpp' version '1.1.1' ** package 'Rcpp' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.cpp -o api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attributes.cpp -o attributes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c barrier.cpp -o barrier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c date.cpp -o date.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c module.cpp -o module.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rcpp_init.cpp -o rcpp_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Rcpp.so api.o attributes.o barrier.o date.o module.o rcpp_init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-Rcpp/00new/Rcpp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rcpp) * installing *source* package 'assertthat' ... ** this is package 'assertthat' version '0.2.1' ** package 'assertthat' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (assertthat) * installing *source* package 'glue' ... ** this is package 'glue' version '1.8.0' ** package 'glue' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trim.c -o trim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glue.so glue.o init.o trim.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-glue/00new/glue/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glue) * installing *source* package 'R6' ... ** this is package 'R6' version '2.6.1' ** package 'R6' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R6) * installing *source* package 'cpp11' ... ** this is package 'cpp11' version '0.5.3' ** package 'cpp11' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cpp11) * installing *source* package 'profmem' ... ** this is package 'profmem' version '0.7.0' ** package 'profmem' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (profmem) * installing *source* package 'modeltools' ... ** this is package 'modeltools' version '0.2-24' ** package 'modeltools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'na.pass' from package 'stats' in package 'modeltools' Creating a generic function from function 'MEapply' in package 'modeltools' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modeltools) * installing *source* package 'DBI' ... ** this is package 'DBI' version '1.3.0' ** package 'DBI' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DBI) * installing *source* package 'enrichwith' ... ** this is package 'enrichwith' version '0.4.0' ** package 'enrichwith' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (enrichwith) * installing *source* package 'statmod' ... ** this is package 'statmod' version '1.5.1' ** package 'statmod' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expectedDeviance.c -o expectedDeviance.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c gaussq2.f -o gaussq2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o statmod.so expectedDeviance.o gaussq2.o init.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-statmod/00new/statmod/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (statmod) * installing *source* package 'nleqslv' ... ** this is package 'nleqslv' version '3.3.6' ** package 'nleqslv' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lautil.f -o lautil.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c limhpar.f -o limhpar.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c liqrev.f -o liqrev.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c liqrup.f -o liqrup.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lirslv.f -o lirslv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nleqslv.c -o nleqslv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwbjac.f -o nwbjac.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwbrdn.f -o nwbrdn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwclsh.f -o nwclsh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwddlg.f -o nwddlg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwglsh.f -o nwglsh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwmhlm.f -o nwmhlm.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwnjac.f -o nwnjac.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwnleq.f -o nwnleq.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwnwtn.f -o nwnwtn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nwout.c -o nwout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwpdlg.f -o nwpdlg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwpure.f -o nwpure.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwqlsh.f -o nwqlsh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwtrup.f -o nwtrup.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c nwutil.f -o nwutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nleqslv.so init.o lautil.o limhpar.o liqrev.o liqrup.o lirslv.o nleqslv.o nwbjac.o nwbrdn.o nwclsh.o nwddlg.o nwglsh.o nwmhlm.o nwnjac.o nwnleq.o nwnwtn.o nwout.o nwpdlg.o nwpure.o nwqlsh.o nwtrup.o nwutil.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-nleqslv/00new/nleqslv/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nleqslv) * installing *source* package 'matrixStats' ... ** this is package 'matrixStats' version '1.5.0' ** package 'matrixStats' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c 000.init.c -o 000.init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c allocMatrix2.c -o allocMatrix2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c anyMissing.c -o anyMissing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binCounts.c -o binCounts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binMeans.c -o binMeans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colCounts.c -o colCounts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colOrderStats.c -o colOrderStats.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colRanges.c -o colRanges.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff2.c -o diff2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c indexByRow.c -o indexByRow.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logSumExp.c -o logSumExp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mean2.c -o mean2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c naming.c -o naming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c productExpSumLog.c -o productExpSumLog.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c psortKM.c -o psortKM.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCounts.c -o rowCounts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCummaxs.c -o rowCummaxs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCummins.c -o rowCummins.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCumprods.c -o rowCumprods.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowCumsums.c -o rowCumsums.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowDiffs.c -o rowDiffs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowLogSumExp.c -o rowLogSumExp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMads.c -o rowMads.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMeans2.c -o rowMeans2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMedians.c -o rowMedians.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowOrderStats.c -o rowOrderStats.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowRanges.c -o rowRanges.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowRanksWithTies.c -o rowRanksWithTies.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowSums2.c -o rowSums2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowVars.c -o rowVars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c signTabulate.c -o signTabulate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sum2.c -o sum2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c validateIndices.c -o validateIndices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weightedMean.c -o weightedMean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weightedMedian.c -o weightedMedian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c x_OP_y.c -o x_OP_y.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o matrixStats.so 000.init.o allocMatrix2.o anyMissing.o binCounts.o binMeans.o colCounts.o colOrderStats.o colRanges.o diff2.o indexByRow.o logSumExp.o mean2.o naming.o productExpSumLog.o psortKM.o rowCounts.o rowCummaxs.o rowCummins.o rowCumprods.o rowCumsums.o rowDiffs.o rowLogSumExp.o rowMads.o rowMeans2.o rowMedians.o rowOrderStats.o rowRanges.o rowRanksWithTies.o rowSums2.o rowVars.o signTabulate.o sum2.o validateIndices.o weightedMean.o weightedMedian.o x_OP_y.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-matrixStats/00new/matrixStats/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (matrixStats) * installing *source* package 'coda' ... ** this is package 'coda' version '0.19-4.1' ** package 'coda' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (coda) * installing *source* package 'abind' ... ** this is package 'abind' version '1.4-8' ** package 'abind' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (abind) * installing *source* package 'extraoperators' ... ** this is package 'extraoperators' version '0.3.0' ** package 'extraoperators' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (extraoperators) * installing *source* package 'cli' ... ** this is package 'cli' version '3.6.5' ** package 'cli' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ansi.c -o ansi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inst.c -o inst.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-unix.c -o keypress-unix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-win.c -o keypress-win.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress.c -o keypress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress-altrep.c -o progress-altrep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress.c -o progress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha256.c -o sha256.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.c -o thread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tty.c -o tty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vt.c -o vt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse.c -o vtparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse_table.c -o vtparse_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c win-utf8.c -o win-utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winfiles.c -o winfiles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash.c -o xxhash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash2.c -o xxhash2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cli.so ansi.o cleancall.o diff.o errors.o glue.o init.o inst.o keypress-unix.o keypress-win.o keypress.o md5.o progress-altrep.o progress.o sha1.o sha256.o thread.o tty.o utf8.o utils.o vt.o vtparse.o vtparse_table.o win-utf8.o winfiles.o xxhash.o xxhash2.o -lpthread installing to /tmp/th798/27261227/R-release/841/library/00LOCK-cli/00new/cli/libs ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cli) * installing *source* package 'digest' ... ** this is package 'digest' version '0.6.39' ** package 'digest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SpookyV2.cpp -o SpookyV2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aes.c -o aes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c blake3.c -o blake3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c blake3_dispatch.c -o blake3_dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c blake3_portable.c -o blake3_portable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crc32.c -o crc32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crc32c.cpp -o crc32c.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crc32c_portable.cpp -o crc32c_portable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c digest.c -o digest.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c digest2int.c -o digest2int.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pmurhash.c -o pmurhash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c raes.c -o raes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha2.c -o sha2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha256.c -o sha256.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c spooky_serialize.cpp -o spooky_serialize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash.c -o xxhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o digest.so SpookyV2.o aes.o blake3.o blake3_dispatch.o blake3_portable.o crc32.o crc32c.o crc32c_portable.o digest.o digest2int.o init.o md5.o pmurhash.o raes.o sha1.o sha2.o sha256.o spooky_serialize.o xxhash.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-digest/00new/digest/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (digest) * installing *source* package 'jsonlite' ... ** this is package 'jsonlite' version '2.0.0' ** package 'jsonlite' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_array.c -o collapse_array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_object.c -o collapse_object.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_pretty.c -o collapse_pretty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c escape_chars.c -o escape_chars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integer64_to_na.c -o integer64_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_datelist.c -o is_datelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_recordlist.c -o is_recordlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_scalarlist.c -o is_scalarlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modp_numtoa.c -o modp_numtoa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c null_to_na.c -o null_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c num_to_char.c -o num_to_char.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prettify.c -o prettify.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c push_parser.c -o push_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-base64.c -o r-base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c register.c -o register.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c row_collapse.c -o row_collapse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose_list.c -o transpose_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c validate.c -o validate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl.c -o yajl/yajl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_alloc.c -o yajl/yajl_alloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_buf.c -o yajl/yajl_buf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_encode.c -o yajl/yajl_encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_gen.c -o yajl/yajl_gen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_lex.c -o yajl/yajl_lex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_parser.c -o yajl/yajl_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_tree.c -o yajl/yajl_tree.o ar rcs yajl/libstatyajl.a yajl/yajl.o yajl/yajl_alloc.o yajl/yajl_buf.o yajl/yajl_encode.o yajl/yajl_gen.o yajl/yajl_lex.o yajl/yajl_parser.o yajl/yajl_tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o jsonlite.so base64.o collapse_array.o collapse_object.o collapse_pretty.o escape_chars.o integer64_to_na.o is_datelist.o is_recordlist.o is_scalarlist.o modp_numtoa.o null_to_na.o num_to_char.o parse.o prettify.o push_parser.o r-base64.o register.o row_collapse.o transpose_list.o validate.o -Lyajl -lstatyajl installing to /tmp/th798/27261227/R-release/841/library/00LOCK-jsonlite/00new/jsonlite/libs ** R ** inst ** byte-compile and prepare package for lazy loading in method for 'asJSON' with signature '"AsIs"': no definition for class "AsIs" in method for 'asJSON' with signature '"ITime"': no definition for class "ITime" in method for 'asJSON' with signature '"hms"': no definition for class "hms" in method for 'asJSON' with signature '"json"': no definition for class "json" in method for 'asJSON' with signature '"integer64"': no definition for class "integer64" in method for 'asJSON' with signature '"pairlist"': no definition for class "pairlist" in method for 'asJSON' with signature '"blob"': no definition for class "blob" in method for 'asJSON' with signature '"scalar"': no definition for class "scalar" in method for 'asJSON' with signature '"sf"': no definition for class "sf" in method for 'asJSON' with signature '"sfc"': no definition for class "sfc" in method for 'asJSON' with signature '"vctrs_vctr"': no definition for class "vctrs_vctr" ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jsonlite) * installing *source* package 'estimability' ... ** this is package 'estimability' version '1.5.1' ** package 'estimability' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (estimability) * installing *source* package 'deSolve' ... ** this is package 'deSolve' version '1.41' ** package 'deSolve' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DLLutil.c -o DLLutil.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_init_deSolve.c -o R_init_deSolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brent.c -o brent.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_daspk.c -o call_daspk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_euler.c -o call_euler.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_iteration.c -o call_iteration.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_lsoda.c -o call_lsoda.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_radau.c -o call_radau.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rk4.c -o call_rk4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rkAuto.c -o call_rkAuto.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rkFixed.c -o call_rkFixed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_rkImplicit.c -o call_rkImplicit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c call_zvode.c -o call_zvode.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c daux.f -o daux.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ddaspk.f -o ddaspk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c deSolve_utils.c -o deSolve_utils.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dintdy2.f -o dintdy2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dlinpk.f -o dlinpk.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dlsoder.f -o dlsoder.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dsparsk.f -o dsparsk.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dvode.f -o dvode.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c errmsg.f -o errmsg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_Aquaphy.c -o ex_Aquaphy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_CCL4model.c -o ex_CCL4model.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_ChemicalDAE.c -o ex_ChemicalDAE.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ex_SCOC.c -o ex_SCOC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forcings.c -o forcings.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lags.c -o lags.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c opkda1.f -o opkda1.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c opkdmain.f -o opkdmain.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c radau5.f -o radau5.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c radau5a.f -o radau5a.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_auto.c -o rk_auto.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_fixed.c -o rk_fixed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_implicit.c -o rk_implicit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rk_util.c -o rk_util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rprintf.c -o rprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c twoDmap.c -o twoDmap.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c zvode.f -o zvode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o deSolve.so DLLutil.o R_init_deSolve.o brent.o call_daspk.o call_euler.o call_iteration.o call_lsoda.o call_radau.o call_rk4.o call_rkAuto.o call_rkFixed.o call_rkImplicit.o call_zvode.o daux.o ddaspk.o deSolve_utils.o dintdy2.o dlinpk.o dlsoder.o dsparsk.o dvode.o errmsg.o ex_Aquaphy.o ex_CCL4model.o ex_ChemicalDAE.o ex_SCOC.o forcings.o lags.o opkda1.o opkdmain.o radau5.o radau5a.o rk_auto.o rk_fixed.o rk_implicit.o rk_util.o rprintf.o twoDmap.o zvode.o -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-deSolve/00new/deSolve/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'matplot' in package 'deSolve' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (deSolve) * installing *source* package 'muhaz' ... ** this is package 'muhaz' version '1.2.6.4' ** package 'muhaz' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c muhaz.f -o muhaz.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o muhaz.so init.o muhaz.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-muhaz/00new/muhaz/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (muhaz) * installing *source* package 'quadprog' ... ** this is package 'quadprog' version '1.5-8' ** package 'quadprog' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c aind.f -o aind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c solve.QP.compact.f -o solve.QP.compact.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c solve.QP.f -o solve.QP.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -msse2 -mfpmath=sse -fpic -g -O2 -c util.f -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o quadprog.so aind.o init.o solve.QP.compact.o solve.QP.o util.o -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-quadprog/00new/quadprog/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quadprog) * installing *source* package 'fontBitstreamVera' ... ** this is package 'fontBitstreamVera' version '0.1.1' ** package 'fontBitstreamVera' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help No man pages found in package 'fontBitstreamVera' *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontBitstreamVera) * installing *source* package 'fontLiberation' ... ** this is package 'fontLiberation' version '0.1.0' ** package 'fontLiberation' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help No man pages found in package 'fontLiberation' *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontLiberation) * installing *source* package 'globals' ... ** this is package 'globals' version '0.19.0' ** package 'globals' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (globals) * installing *source* package 'listenv' ... ** this is package 'listenv' version '0.10.0' ** package 'listenv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (listenv) * installing *source* package 'parallelly' ... ** this is package 'parallelly' version '1.46.1' ** package 'parallelly' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c 000.init.c -o 000.init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c calc-serialized-size.c -o calc-serialized-size.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test_tcp_port.c -o test_tcp_port.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o parallelly.so 000.init.o calc-serialized-size.o test_tcp_port.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-parallelly/00new/parallelly/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parallelly) * installing *source* package 'gamlss.data' ... ** this is package 'gamlss.data' version '6.0-7' ** package 'gamlss.data' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gamlss.data) * installing *source* package 'S7' ... ** this is package 'S7' version '0.2.1' ** package 'S7' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c method-dispatch.c -o method-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prop.c -o prop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o S7.so init.o method-dispatch.o prop.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-S7/00new/S7/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (S7) * installing *source* package 'SuppDists' ... ** this is package 'SuppDists' version '1.1-9.9' ** package 'SuppDists' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dists.cpp -o dists.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o SuppDists.so dists.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-SuppDists/00new/SuppDists/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SuppDists) * installing *source* package 'rprojroot' ... ** this is package 'rprojroot' version '2.1.1' ** package 'rprojroot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rprojroot) * installing *source* package 'plotfunctions' ... ** this is package 'plotfunctions' version '1.5' ** package 'plotfunctions' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plotfunctions) * installing *source* package 'viridisLite' ... ** this is package 'viridisLite' version '0.4.3' ** package 'viridisLite' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (viridisLite) * installing *source* package 'nloptr' ... ** this is package 'nloptr' version '2.2.1' ** package 'nloptr' successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -E checking whether the compiler supports GNU C++... (cached) yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... (cached) yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... (cached) none needed checking for pkg-config... /home/th798/.conda/envs/emacs1/bin/pkg-config checking if pkg-config knows NLopt... no checking for cmake... /home/th798/.conda/envs/emacs1/bin/cmake using cmake via /home/th798/.conda/envs/emacs1/bin/cmake using NLopt via local cmake build on x86_64 set CC=/packages/gcc/12.2.0-nnbserq/bin/gcc set CFLAGS=-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include set CXX=/packages/gcc/12.2.0-nnbserq/bin/g++ set CXXFLAGS=-std=gnu++11 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include set LDFLAGS=-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -- The C compiler identification is GNU 12.2.0 -- The CXX compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /packages/gcc/12.2.0-nnbserq/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- NLopt version 2.10.0 -- Looking for getopt.h -- Looking for getopt.h - found -- Looking for unistd.h -- Looking for unistd.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for time.h -- Looking for time.h - found -- Looking for sys/time.h -- Looking for sys/time.h - found -- Looking for getpid -- Looking for getpid - found -- Looking for syscall -- Looking for syscall - found -- Looking for isinf -- Looking for isinf - found -- Looking for isnan -- Looking for isnan - found -- Looking for gettimeofday -- Looking for gettimeofday - found -- Looking for qsort_r -- Looking for qsort_r - found -- Looking for time -- Looking for time - found -- Looking for copysign -- Looking for copysign - found -- Looking for getopt -- Looking for getopt - found -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of uint32_t -- Check size of uint32_t - done -- Check size of unsigned int -- Check size of unsigned int - done -- Check size of unsigned long -- Check size of unsigned long - done -- Looking for sqrt in m -- Looking for sqrt in m - found -- Looking for fpclassify -- Looking for fpclassify - TRUE -- Performing Test HAVE_THREAD_LOCAL_STORAGE -- Performing Test HAVE_THREAD_LOCAL_STORAGE - Success -- Performing Test HAVE_THREAD_LOCAL_STORAGE -- Performing Test HAVE_THREAD_LOCAL_STORAGE - Failed -- Looking for __cplusplus -- Looking for __cplusplus - found -- Found JNI: /usr/lib/jvm/java/jre/lib/amd64/libjawt.so -- Found Java: /usr/bin/java (found suitable version "1.8.0_482", minimum required is "1.5") -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt-build [ 2%] Generating nlopt.hpp [ 2%] Built target generate-cpp [ 4%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/DIRect.c.o [ 6%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/direct_wrap.c.o [ 8%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/DIRserial.c.o [ 10%] Building C object CMakeFiles/nlopt.dir/src/algs/direct/DIRsubrout.c.o [ 12%] Building C object CMakeFiles/nlopt.dir/src/algs/cdirect/cdirect.c.o [ 14%] Building C object CMakeFiles/nlopt.dir/src/algs/cdirect/hybrid.c.o [ 16%] Building C object CMakeFiles/nlopt.dir/src/algs/praxis/praxis.c.o [ 18%] Building C object CMakeFiles/nlopt.dir/src/algs/crs/crs.c.o [ 20%] Building C object CMakeFiles/nlopt.dir/src/algs/mlsl/mlsl.c.o [ 22%] Building C object CMakeFiles/nlopt.dir/src/algs/mma/mma.c.o [ 24%] Building C object CMakeFiles/nlopt.dir/src/algs/mma/ccsa_quadratic.c.o [ 26%] Building C object CMakeFiles/nlopt.dir/src/algs/cobyla/cobyla.c.o [ 28%] Building C object CMakeFiles/nlopt.dir/src/algs/newuoa/newuoa.c.o [ 30%] Building C object CMakeFiles/nlopt.dir/src/algs/neldermead/nldrmd.c.o [ 32%] Building C object CMakeFiles/nlopt.dir/src/algs/neldermead/sbplx.c.o [ 34%] Building C object CMakeFiles/nlopt.dir/src/algs/auglag/auglag.c.o [ 36%] Building C object CMakeFiles/nlopt.dir/src/algs/bobyqa/bobyqa.c.o [ 38%] Building C object CMakeFiles/nlopt.dir/src/algs/isres/isres.c.o [ 40%] Building C object CMakeFiles/nlopt.dir/src/algs/slsqp/slsqp.c.o [ 42%] Building C object CMakeFiles/nlopt.dir/src/algs/esch/esch.c.o [ 44%] Building C object CMakeFiles/nlopt.dir/src/api/general.c.o [ 46%] Building C object CMakeFiles/nlopt.dir/src/api/options.c.o [ 48%] Building C object CMakeFiles/nlopt.dir/src/api/optimize.c.o [ 51%] Building C object CMakeFiles/nlopt.dir/src/api/deprecated.c.o [ 53%] Building C object CMakeFiles/nlopt.dir/src/api/f77api.c.o [ 55%] Building C object CMakeFiles/nlopt.dir/src/util/mt19937ar.c.o [ 57%] Building C object CMakeFiles/nlopt.dir/src/util/sobolseq.c.o [ 59%] Building C object CMakeFiles/nlopt.dir/src/util/timer.c.o [ 61%] Building C object CMakeFiles/nlopt.dir/src/util/stop.c.o [ 63%] Building C object CMakeFiles/nlopt.dir/src/util/redblack.c.o [ 65%] Building C object CMakeFiles/nlopt.dir/src/util/qsort_r.c.o [ 67%] Building C object CMakeFiles/nlopt.dir/src/util/rescale.c.o [ 69%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/plis.c.o [ 71%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/plip.c.o [ 73%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/pnet.c.o [ 75%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/mssubs.c.o [ 77%] Building C object CMakeFiles/nlopt.dir/src/algs/luksan/pssubs.c.o [ 79%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/global.cc.o [ 81%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/linalg.cc.o [ 83%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/local.cc.o [ 85%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/stogo.cc.o [ 87%] Building CXX object CMakeFiles/nlopt.dir/src/algs/stogo/tools.cc.o [ 89%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/evolvent.cc.o [ 91%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/solver.cc.o [ 93%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/local_optimizer.cc.o [ 95%] Building CXX object CMakeFiles/nlopt.dir/src/algs/ags/ags.cc.o [ 97%] Linking CXX static library libnlopt.a [100%] Built target nlopt [ 2%] Built target generate-cpp Consolidate compiler generated dependencies of target nlopt [100%] Built target nlopt Install the project... -- Install configuration: "Release" -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/lib64/pkgconfig/nlopt.pc -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/include/nlopt.h -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/include/nlopt.hpp -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/lib64/libnlopt.a -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/share/man/man3/nlopt.3 -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/share/man/man3/nlopt_minimize.3 -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/share/man/man3/nlopt_minimize_constrained.3 -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptLibraryDepends.cmake -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptLibraryDepends-release.cmake -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptConfig.cmake -- Installing: /tmp/th798/27261227/RtmpCxHf9H/R.INSTALL2d0cdb16c95be2/nloptr/src/nlopt/lib64/cmake/nlopt/NLoptConfigVersion.cmake Moving nlopt/lib64 to nlopt/lib Copying headers found in src/nlopt/include into inst/include /usr/bin/cp src/nlopt/include/nlopt.h src/nlopt/include/nlopt.hpp inst/include/ configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Inlopt/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.cpp -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Inlopt/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init_nloptr.c -o init_nloptr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Inlopt/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nloptr.c -o nloptr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nloptr.so dummy.o init_nloptr.o nloptr.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath nlopt/lib/libnlopt.a installing to /tmp/th798/27261227/R-release/841/library/00LOCK-nloptr/00new/nloptr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nloptr) * installing *source* package 'prediction' ... ** this is package 'prediction' version '0.3.18' ** package 'prediction' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prediction) * installing *source* package 'RcppProgress' ... ** this is package 'RcppProgress' version '0.4.2' ** package 'RcppProgress' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppProgress) * installing *source* package 'corpcor' ... ** this is package 'corpcor' version '1.6.10' ** package 'corpcor' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (corpcor) * installing *source* package 'tensorA' ... ** this is package 'tensorA' version '0.36.2.1' ** package 'tensorA' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tensora.c -o tensora.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tensorA.so tensora.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-tensorA/00new/tensorA/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tensorA) * installing *source* package 'CompQuadForm' ... ** this is package 'CompQuadForm' version '1.4.4' ** package 'CompQuadForm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c imhof.cpp -o imhof.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qfc.cpp -o qfc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c registerDynamicSymbol.c -o registerDynamicSymbol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ruben.cpp -o ruben.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o CompQuadForm.so imhof.o qfc.o registerDynamicSymbol.o ruben.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-CompQuadForm/00new/CompQuadForm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CompQuadForm) * installing *source* package 'FNN' ... ** this is package 'FNN' version '1.1.4.1' ** package 'FNN' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ANN.cpp -o ANN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_ANN.cpp -o KNN_ANN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_correlation_distance.cpp -o KNN_correlation_distance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_cover_test.cpp -o KNN_cover_test.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_cover_tree.cpp -o KNN_cover_tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c KNN_mutual_information.cpp -o KNN_mutual_information.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_fix_rad_search.cpp -o bd_fix_rad_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_pr_search.cpp -o bd_pr_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_search.cpp -o bd_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bd_tree.cpp -o bd_tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brute.cpp -o brute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init_FNN.c -o init_FNN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_dump.cpp -o kd_dump.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_fix_rad_search.cpp -o kd_fix_rad_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_pr_search.cpp -o kd_pr_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_search.cpp -o kd_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_split.cpp -o kd_split.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_tree.cpp -o kd_tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kd_util.cpp -o kd_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c label_point.cpp -o label_point.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iinclude -DUSING_R -DUSING_RPRINT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c perf.cpp -o perf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o FNN.so ANN.o KNN_ANN.o KNN_correlation_distance.o KNN_cover_test.o KNN_cover_tree.o KNN_mutual_information.o bd_fix_rad_search.o bd_pr_search.o bd_search.o bd_tree.o brute.o init_FNN.o kd_dump.o kd_fix_rad_search.o kd_pr_search.o kd_search.o kd_split.o kd_tree.o kd_util.o label_point.o perf.o rm -f *.o core installing to /tmp/th798/27261227/R-release/841/library/00LOCK-FNN/00new/FNN/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FNN) * installing *source* package 'mlr3data' ... ** this is package 'mlr3data' version '0.9.0' ** package 'mlr3data' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3data) * installing *source* package 'TH.data' ... ** this is package 'TH.data' version '1.1-5' ** package 'TH.data' successfully unpacked and MD5 sums checked ** using staged installation ** data *** moving datasets to lazyload DB ** demo ** inst ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TH.data) * installing *source* package 'ucminf' ... ** this is package 'ucminf' version '1.2.2' ** package 'ucminf' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c fortran.f -o fortran.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interface.c -o interface.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ucminf.so fortran.o init.o interface.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ucminf/00new/ucminf/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ucminf) * installing *source* package 'prettyunits' ... ** this is package 'prettyunits' version '1.2.0' ** package 'prettyunits' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prettyunits) * installing *source* package 'farver' ... ** this is package 'farver' version '2.1.2' ** package 'farver' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ColorSpace.cpp -o ColorSpace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Comparison.cpp -o Comparison.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Conversion.cpp -o Conversion.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c encode.cpp -o encode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c farver.cpp -o farver.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o farver.so ColorSpace.o Comparison.o Conversion.o encode.o farver.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-farver/00new/farver/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (farver) * installing *source* package 'fs' ... ** this is package 'fs' version '1.6.7' ** package 'fs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c id.cc -o id.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fs.cc -o fs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file.cc -o file.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c path.cc -o path.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getmode.cc -o getmode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c link.cc -o link.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cc -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cc -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dir.cc -o dir.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error.cc -o error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/getmode.cc -o unix/getmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/setmode.c -o bsd/setmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/strmode.c -o bsd/strmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/reallocarray.c -o bsd/reallocarray.o touch libuv-1.44.2/aclocal.m4 && touch libuv-1.44.2/configure && touch libuv-1.44.2/Makefile.in (cd libuv-1.44.2 \ && CC="/packages/gcc/12.2.0-nnbserq/bin/gcc" CPPFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include" CFLAGS="-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -fvisibility=hidden -std=c99" AR="ar" RANLIB="ranlib" LDFLAGS="-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64" LT_MULTI_MODULE=1 ./configure --quiet) /usr/bin/cp .//depcomp conftest.dir make --directory=libuv-1.44.2 \ HAVE_DTRACE=0 make[1]: Entering directory '/tmp/th798/27261227/RtmpVqHPCw/R.INSTALL2d14e8600fa708/fs/src/libuv-1.44.2' CC src/libuv_la-fs-poll.lo CC src/libuv_la-idna.lo CC src/libuv_la-inet.lo CC src/libuv_la-random.lo CC src/libuv_la-strscpy.lo CC src/libuv_la-threadpool.lo CC src/libuv_la-timer.lo CC src/libuv_la-uv-data-getter-setters.lo CC src/libuv_la-uv-common.lo CC src/libuv_la-version.lo CC src/libuv_la-strtok.lo CC src/unix/libuv_la-async.lo CC src/unix/libuv_la-core.lo CC src/unix/libuv_la-dl.lo CC src/unix/libuv_la-fs.lo CC src/unix/libuv_la-getaddrinfo.lo CC src/unix/libuv_la-getnameinfo.lo CC src/unix/libuv_la-loop-watcher.lo CC src/unix/libuv_la-loop.lo CC src/unix/libuv_la-pipe.lo CC src/unix/libuv_la-poll.lo CC src/unix/libuv_la-process.lo CC src/unix/libuv_la-random-devurandom.lo CC src/unix/libuv_la-signal.lo CC src/unix/libuv_la-stream.lo CC src/unix/libuv_la-tcp.lo CC src/unix/libuv_la-thread.lo CC src/unix/libuv_la-tty.lo CC src/unix/libuv_la-udp.lo CC src/unix/libuv_la-linux-core.lo CC src/unix/libuv_la-linux-inotify.lo CC src/unix/libuv_la-linux-syscalls.lo CC src/unix/libuv_la-procfs-exepath.lo CC src/unix/libuv_la-proctitle.lo CC src/unix/libuv_la-random-getrandom.lo CC src/unix/libuv_la-random-sysctl-linux.lo CC src/unix/libuv_la-epoll.lo CCLD libuv.la make[1]: Leaving directory '/tmp/th798/27261227/RtmpVqHPCw/R.INSTALL2d14e8600fa708/fs/src/libuv-1.44.2' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fs.so id.o fs.o file.o path.o getmode.o link.o utils.o init.o dir.o error.o unix/getmode.o bsd/setmode.o bsd/strmode.o bsd/reallocarray.o ./libuv-1.44.2/.libs/libuv.pa -pthread installing to /tmp/th798/27261227/R-release/841/library/00LOCK-fs/00new/fs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fs) * installing *source* package 'whisker' ... ** this is package 'whisker' version '0.4.1' ** package 'whisker' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (whisker) * installing *source* package 'bdsmatrix' ... ** this is package 'bdsmatrix' version '1.3-7' ** package 'bdsmatrix' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_init_bdsmatrix.c -o R_init_bdsmatrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_index1.c -o bdsmatrix_index1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_index2.c -o bdsmatrix_index2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_index3.c -o bdsmatrix_index3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod.c -o bdsmatrix_prod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod2.c -o bdsmatrix_prod2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod3.c -o bdsmatrix_prod3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bdsmatrix_prod4.c -o bdsmatrix_prod4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chinv4.c -o chinv4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chinv5.c -o chinv5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cholesky4.c -o cholesky4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cholesky5.c -o cholesky5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chsolve4.c -o chsolve4.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chsolve5.c -o chsolve5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmatrix.c -o dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gcback.c -o gcback.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gchol.c -o gchol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gchol_bds.c -o gchol_bds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bdsmatrix.so R_init_bdsmatrix.o bdsmatrix_index1.o bdsmatrix_index2.o bdsmatrix_index3.o bdsmatrix_prod.o bdsmatrix_prod2.o bdsmatrix_prod3.o bdsmatrix_prod4.o chinv4.o chinv5.o cholesky4.o cholesky5.o chsolve4.o chsolve5.o dmatrix.o gcback.o gchol.o gchol_bds.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-bdsmatrix/00new/bdsmatrix/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'diag' from package 'base' in package 'bdsmatrix' Creating a generic function for 'diag<-' from package 'base' in package 'bdsmatrix' Creating a new generic function for 'backsolve' in package 'bdsmatrix' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bdsmatrix) * installing *source* package 'SparseM' ... ** this is package 'SparseM' version '1.84-2' ** package 'SparseM' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bckslv.f -o bckslv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c chol.f -o chol.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c chol2csr.f -o chol2csr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cholesky.f -o cholesky.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c csr.f -o csr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c extract.f -o extract.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sparskit.f -o sparskit.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c subscr.f -o subscr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o SparseM.so bckslv.o chol.o chol2csr.o cholesky.o csr.o extract.o init.o sparskit.o subscr.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-SparseM/00new/SparseM/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'diag' from package 'base' in package 'SparseM' Creating a generic function for 'diag<-' from package 'base' in package 'SparseM' Creating a generic function for 'norm' from package 'base' in package 'SparseM' Creating a generic function for 'backsolve' from package 'base' in package 'SparseM' Creating a generic function for 'forwardsolve' from package 'base' in package 'SparseM' Creating a generic function for 'model.response' from package 'stats' in package 'SparseM' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SparseM) * installing *source* package 'MatrixModels' ... ** this is package 'MatrixModels' version '0.5-4' ** package 'MatrixModels' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MatrixModels) * installing *source* package 'randomForest' ... ** this is package 'randomForest' version '4.7-1.2' ** package 'randomForest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c classTree.c -o classTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regTree.c -o regTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regrf.c -o regrf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rf.c -o rf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rfsub.f -o rfsub.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rfutils.c -o rfutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o randomForest.so classTree.o init.o regTree.o regrf.o rf.o rfsub.o rfutils.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-randomForest/00new/randomForest/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (randomForest) * installing *source* package 'RColorBrewer' ... ** this is package 'RColorBrewer' version '1.1-3' ** package 'RColorBrewer' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RColorBrewer) * installing *source* package 'plotrix' ... ** this is package 'plotrix' version '3.8-14' ** package 'plotrix' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plotrix) * installing *source* package 'curl' ... ** this is package 'curl' version '7.0.0' ** package 'curl' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lcurl ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callbacks.c -o callbacks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c curl.c -o curl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c download.c -o download.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dryrun.c -o dryrun.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c escape.c -o escape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fetch.c -o fetch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c findport.c -o findport.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c form.c -o form.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getdate.c -o getdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c handle.c -o handle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ieproxy.c -o ieproxy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interrupt.c -o interrupt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multi.c -o multi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nslookup.c -o nslookup.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c options.c -o options.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reflist.c -o reflist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c split.c -o split.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ssl.c -o ssl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c typechecking.c -o typechecking.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c urlparser.c -o urlparser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winidn.c -o winidn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c writer.c -o writer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o curl.so callbacks.o curl.o download.o dryrun.o escape.o fetch.o findport.o form.o getdate.o handle.o ieproxy.o init.o interrupt.o multi.o nslookup.o options.o reflist.o split.o ssl.o typechecking.o urlparser.o utils.o version.o winidn.o writer.o -L/home/th798/.conda/envs/emacs1/lib -lcurl installing to /tmp/th798/27261227/R-release/841/library/00LOCK-curl/00new/curl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (curl) * installing *source* package 'png' ... ** this is package 'png' version '0.1-8' ** package 'png' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include `libpng-config --cflags` -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include `libpng-config --cflags` -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.c -o read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include `libpng-config --cflags` -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.c -o write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o png.so dummy.o read.o write.o -L/home/th798/.conda/envs/emacs1/lib -lpng16 -lm -lz -lm installing to /tmp/th798/27261227/R-release/841/library/00LOCK-png/00new/png/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (png) * installing *source* package 'rappdirs' ... ** this is package 'rappdirs' version '0.3.4' ** package 'rappdirs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c win-path.c -o win-path.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rappdirs.so init.o win-path.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rappdirs/00new/rappdirs/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rappdirs) * installing *source* package 'evaluate' ... ** this is package 'evaluate' version '1.0.5' ** package 'evaluate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (evaluate) * installing *source* package 'xfun' ... ** this is package 'xfun' version '0.56' ** package 'xfun' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rand_lcg.c -o rand_lcg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xfun.so base64.o init.o rand_lcg.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-xfun/00new/xfun/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xfun) * installing *source* package 'colorspace' ... ** this is package 'colorspace' version '2.1-2' ** package 'colorspace' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colorspace.c -o colorspace.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o colorspace.so colorspace.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-colorspace/00new/colorspace/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (colorspace) * installing *source* package 'fit.models' ... ** this is package 'fit.models' version '0.64' ** package 'fit.models' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fit.models) * installing *source* package 'DEoptimR' ... ** this is package 'DEoptimR' version '1.1-4' ** package 'DEoptimR' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DEoptimR) * installing *source* package 'xtable' ... ** this is package 'xtable' version '1.8-8' ** package 'xtable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xtable) * installing *source* package 'RcppParallel' ... ** this is package 'RcppParallel' version '5.1.11-2' ** package 'RcppParallel' successfully unpacked and MD5 sums checked ** using staged installation ** preparing to configure package 'RcppParallel' ... *** configured file: 'R/tbb-autodetected.R.in' => 'R/tbb-autodetected.R' *** configured file: 'src/Makevars.in' => 'src/Makevars' *** configured file: 'src/install.libs.R.in' => 'src/install.libs.R' ** finished configure for package 'RcppParallel' ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' (tbb) Building TBB using bundled sources ... /usr/bin/cp -R tbb/include/index.html tbb/include/serial tbb/include/tbb ../inst/include/ make[1]: Entering directory '/tmp/th798/27261227/RtmpXGMnME/R.INSTALL2d29ef6d431498/RcppParallel/src/tbb/src' OS: linux arch=intel64 compiler=gcc runtime=cc12.2.0_libc2.28_kernel4.18.0 tbb_build_prefix=linux_intel64_gcc_cc12.2.0_libc2.28_kernel4.18.0 work_dir=/tmp/th798/27261227/RtmpXGMnME/R.INSTALL2d29ef6d431498/RcppParallel/src/build/linux_intel64_gcc_cc12.2.0_libc2.28_kernel4.18.0_release make[1]: Leaving directory '/tmp/th798/27261227/RtmpXGMnME/R.INSTALL2d29ef6d431498/RcppParallel/src/tbb/src' (tbb) TBB compilation finished successfully. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -std=gnu++11 -DRCPP_PARALLEL_USE_TBB=1 -DTBB_SUPPRESS_DEPRECATED_MESSAGES=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -std=gnu++11 -DRCPP_PARALLEL_USE_TBB=1 -DTBB_SUPPRESS_DEPRECATED_MESSAGES=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c options.cpp -o options.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -std=gnu++11 -DRCPP_PARALLEL_USE_TBB=1 -DTBB_SUPPRESS_DEPRECATED_MESSAGES=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tbb.cpp -o tbb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppParallel.so init.o options.o tbb.o installing via 'install.libs.R' to /tmp/th798/27261227/R-release/841/library/00LOCK-RcppParallel/00new/RcppParallel ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppParallel) * installing *source* package 'VGAM' ... ** this is package 'VGAM' version '1.1-14' ** package 'VGAM' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c VGAM_init.c -o VGAM_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c caqo3.c -o caqo3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ei.f -o ei.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c fgam.f -o fgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gautr.c -o gautr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lerchphi.c -o lerchphi.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lms.f -o lms.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c muxr3.c -o muxr3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rgam.f -o rgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rgam3.c -o rgam3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c specfun3.c -o specfun3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tyeepolygamma.f -o tyeepolygamma.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tyeepolygamma3.c -o tyeepolygamma3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vdigami.f -o vdigami.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c veigen.f -o veigen.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vgam.f -o vgam.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vgam3.c -o vgam3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vlinpack1.f -o vlinpack1.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vlinpack2.f -o vlinpack2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vlinpack3.f -o vlinpack3.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c vmux.f -o vmux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vmux3.c -o vmux3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zeta3.c -o zeta3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o VGAM.so VGAM_init.o caqo3.o ei.o fgam.o gautr.o lerchphi.o lms.o muxr3.o rgam.o rgam3.o specfun3.o tyeepolygamma.o tyeepolygamma3.o vdigami.o veigen.o vgam.o vgam3.o vlinpack1.o vlinpack2.o vlinpack3.o vmux.o vmux3.o zeta3.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-VGAM/00new/VGAM/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (VGAM) * installing *source* package 'commonmark' ... ** this is package 'commonmark' version '2.0.0' ** package 'commonmark' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions.c -o extensions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrapper.c -o wrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/cmark.c -o cmark/cmark.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/node.c -o cmark/node.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/iterator.c -o cmark/iterator.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/blocks.c -o cmark/blocks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/inlines.c -o cmark/inlines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/scanners.c -o cmark/scanners.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/utf8.c -o cmark/utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/buffer.c -o cmark/buffer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/references.c -o cmark/references.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/render.c -o cmark/render.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/man.c -o cmark/man.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/xml.c -o cmark/xml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/html.c -o cmark/html.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/commonmark.c -o cmark/commonmark.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/latex.c -o cmark/latex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/houdini_href_e.c -o cmark/houdini_href_e.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/houdini_html_e.c -o cmark/houdini_html_e.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/houdini_html_u.c -o cmark/houdini_html_u.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/cmark_ctype.c -o cmark/cmark_ctype.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/arena.c -o cmark/arena.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/linked_list.c -o cmark/linked_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/plugin.c -o cmark/plugin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/registry.c -o cmark/registry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/syntax_extension.c -o cmark/syntax_extension.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/plaintext.c -o cmark/plaintext.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/footnotes.c -o cmark/footnotes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmark/map.c -o cmark/map.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/autolink.c -o extensions/autolink.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/core-extensions.c -o extensions/core-extensions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/ext_scanners.c -o extensions/ext_scanners.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/strikethrough.c -o extensions/strikethrough.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/table.c -o extensions/table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/tagfilter.c -o extensions/tagfilter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Icmark -I. -DCMARK_GFM_STATIC_DEFINE -DCMARK_GFM_EXTENSIONS_STATIC_DEFINE -DR_NO_REMAP -DSTRICT_R_HEADERS -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extensions/tasklist.c -o extensions/tasklist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o commonmark.so extensions.o init.o wrapper.o -Lcmark -lstatcmark installing to /tmp/th798/27261227/R-release/841/library/00LOCK-commonmark/00new/commonmark/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (commonmark) * installing *source* package 'base64enc' ... ** this is package 'base64enc' version '0.1-6' ** package 'base64enc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uriencode.c -o uriencode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o base64enc.so base64.o dummy.o uriencode.o utf8.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-base64enc/00new/base64enc/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (base64enc) * installing *source* package 'pkgconfig' ... ** this is package 'pkgconfig' version '2.0.3' ** package 'pkgconfig' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgconfig) * installing *source* package 'backports' ... ** this is package 'backports' version '1.5.0' ** package 'backports' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsElt.c -o dotsElt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsLength.c -o dotsLength.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsNames.c -o dotsNames.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o backports.so dotsElt.o dotsLength.o dotsNames.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-backports/00new/backports/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (backports) * installing *source* package 'generics' ... ** this is package 'generics' version '0.1.4' ** package 'generics' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (generics) * installing *source* package 'Formula' ... ** this is package 'Formula' version '1.2-5' ** package 'Formula' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Formula) * installing *source* package 'insight' ... ** this is package 'insight' version '1.4.6' ** package 'insight' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (insight) * installing *source* package 'rlang' ... ** this is package 'rlang' version '1.1.7' ** package 'rlang' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c capture.c -o capture.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.c -o internal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rlang.so capture.o internal.o rlang.o version.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rlang/00new/rlang/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rlang) * installing *source* package 'aod' ... ** this is package 'aod' version '1.3.3' ** package 'aod' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (aod) * installing *source* package 'BH' ... ** this is package 'BH' version '1.90.0-1' ** package 'BH' successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BH) * installing *source* package 'carData' ... ** this is package 'carData' version '3.0-6' ** package 'carData' successfully unpacked and MD5 sums checked ** using staged installation ** data *** moving datasets to lazyload DB ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (carData) * installing *source* package 'countrycode' ... ** this is package 'countrycode' version '1.7.0' ** package 'countrycode' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (countrycode) * installing *source* package 'dbarts' ... ** this is package 'dbarts' version '0.9-32' ** package 'dbarts' successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed checking how to run the C preprocessor... /packages/gcc/12.2.0-nnbserq/bin/gcc -E checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -E checking for C/C++ restrict keyword... no checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking whether byte ordering is bigendian... no checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking for C compiler vendor... gnu checking whether C compiler accepts ... yes checking whether C compiler accepts -msse2... yes checking whether C compiler accepts -msse4.1... yes checking whether C compiler accepts -mavx... yes checking whether C compiler accepts -mavx2... yes checking for a sed that does not truncate output... /usr/bin/sed checking for egrep -e... /usr/bin/grep -E checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc is Clang... no checking whether pthreads work with "-pthread" and "-lpthread"... yes checking for joinable pthread attribute... PTHREAD_CREATE_JOINABLE checking whether more special flags are required for pthreads... no checking for PTHREAD_PRIO_INHERIT... yes checking for cstdint... yes checking for sys/time.h... yes checking for unistd.h... (cached) yes checking for malloc.h... yes checking for int64_t... yes checking for uint64_t... yes checking size of size_t... 8 checking alignment of void*... 8 checking for gettimeofday... yes checking for clock_gettime... yes checking for ffs... yes checking for size_t... yes checking for working alloca.h... yes checking for alloca... yes checking for working posix_memalign... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 options needed to detect all undeclared functions... none needed checking whether strerror_r is declared... yes checking whether strerror_r returns char *... yes checking for snprintf... yes checking if g++ supports namespace std... yes checking whether snprintf is in std::... yes checking for log1p... yes checking whether log1p is in std::... no configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.hpp config.status: creating src/dbarts/config.hpp config.status: creating src/misc/config.h config.status: creating src/external/config.h config.status: creating inst/include/dbarts/types.hpp config.status: creating src/include/misc/types.h ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_C_interface.cpp -o R_C_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface.cpp -o R_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_common.cpp -o R_interface_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_crossvalidate.cpp -o R_interface_crossvalidate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_rbart.cpp -o R_interface_rbart.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_interface_sampler.cpp -o R_interface_sampler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crossvalidate.cpp -o crossvalidate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c guessNumCores.cpp -o guessNumCores.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -Iinclude -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c makeModelMatrixFromDataFrame.c -o makeModelMatrixFromDataFrame.o make[1]: Entering directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/dbarts' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c bartFit.cpp -o bartFit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c binaryIO.cpp -o binaryIO.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c birthDeathRule.cpp -o birthDeathRule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c changeRule.cpp -o changeRule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c functions.cpp -o functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c likelihood.cpp -o likelihood.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c node.cpp -o node.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c parameterPrior.cpp -o parameterPrior.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c state.cpp -o state.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c swapRule.cpp -o swapRule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c tree.cpp -o tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../../inst/include -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c treePrior.cpp -o treePrior.o ar rv ../dbarts.a bartFit.o binaryIO.o birthDeathRule.o changeRule.o functions.o likelihood.o node.o parameterPrior.o state.o swapRule.o tree.o treePrior.o ar: creating ../dbarts.a a - bartFit.o a - binaryIO.o a - birthDeathRule.o a - changeRule.o a - functions.o a - likelihood.o a - node.o a - parameterPrior.o a - state.o a - swapRule.o a - tree.o a - treePrior.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/dbarts' make[1]: Entering directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/external' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c io.c -o io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c randomBase.c -o randomBase.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c randomNorm.c -o randomNorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c random.c -o random.o ar rv ../external.a io.o randomBase.o randomNorm.o random.o ar: creating ../external.a a - io.o a - randomBase.o a - randomNorm.o a - random.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/external' make[1]: Entering directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/misc' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -msse2 -c adaptiveRadixTree.c -o adaptiveRadixTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c binaryIO.c -o binaryIO.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c blockingThreadManager.c -o blockingThreadManager.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c hierarchicalThreadManager.c -o hierarchicalThreadManager.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra.c -o linearAlgebra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c moments.c -o moments.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition.c -o partition.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c simd.c -o simd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c string.c -o string.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c thread.c -o thread.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_sse2.c -o linearAlgebra_sse2.c /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-release/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_sse2.c -o linearAlgebra_sse2.c echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c moments_sse2.c -o moments_sse2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-release/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c moments_sse2.c -o moments_sse2.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse2.c -o partition_sse2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-release/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse2.c -o partition_sse2.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse4_1.c -o partition_sse4_1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-release/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_sse4_1.c -o partition_sse4_1.o echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_avx.c -o linearAlgebra_avx.c /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-release/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c linearAlgebra_avx.c -o linearAlgebra_avx.c echo /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_avx2.c -o partition_avx2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I/home/th798/R/R-release/include -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c partition_avx2.c -o partition_avx2.o ar rv ../misc.a adaptiveRadixTree.o binaryIO.o blockingThreadManager.o hierarchicalThreadManager.o linearAlgebra.o moments.o partition.o simd.o string.o thread.o linearAlgebra_sse2.o moments_sse2.o partition_sse2.o partition_sse4_1.o linearAlgebra_avx.o partition_avx2.o ar: creating ../misc.a a - adaptiveRadixTree.o a - binaryIO.o a - blockingThreadManager.o a - hierarchicalThreadManager.o a - linearAlgebra.o a - moments.o a - partition.o a - simd.o a - string.o a - thread.o a - linearAlgebra_sse2.o a - moments_sse2.o a - partition_sse2.o a - partition_sse4_1.o a - linearAlgebra_avx.o a - partition_avx2.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/misc' make[1]: Entering directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/rc' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c bounds.c -o bounds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../include -pthread -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c util.c -o util.o ar rv ../rc.a bounds.o util.o ar: creating ../rc.a a - bounds.o a - util.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpN8RyYQ/R.INSTALL2d2ef927780a06/dbarts/src/rc' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o dbarts.so R_C_interface.o R_interface.o R_interface_common.o R_interface_crossvalidate.o R_interface_rbart.o R_interface_sampler.o crossvalidate.o guessNumCores.o makeModelMatrixFromDataFrame.o dbarts.a external.a misc.a rc.a -pthread installing to /tmp/th798/27261227/R-release/841/library/00LOCK-dbarts/00new/dbarts/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dbarts) * installing *source* package 'gamlss.dist' ... ** this is package 'gamlss.dist' version '6.1-1' ** package 'gamlss.dist' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ST3.c -o ST3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cdfSICHEL.c -o cdfSICHEL.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dDPOgetC5_C.c -o dDPOgetC5_C.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gamlss.dist_init.c -o gamlss.dist_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getBI_C2.c -o getBI_C2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tocdf.c -o tocdf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tocdfSIbis.c -o tocdfSIbis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofyPIG1.c -o tofyPIG1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofyPIG2.c -o tofyPIG2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySI1.c -o tofySI1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySI2.c -o tofySI2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySICHEL1.c -o tofySICHEL1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofySICHEL2.c -o tofySICHEL2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofydel1.c -o tofydel1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tofydel2.c -o tofydel2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gamlss.dist.so ST3.o cdfSICHEL.o dDPOgetC5_C.o gamlss.dist_init.o getBI_C2.o tocdf.o tocdfSIbis.o tofyPIG1.o tofyPIG2.o tofySI1.o tofySI2.o tofySICHEL1.o tofySICHEL2.o tofydel1.o tofydel2.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-gamlss.dist/00new/gamlss.dist/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gamlss.dist) * installing *source* package 'magrittr' ... ** this is package 'magrittr' version '2.0.4' ** package 'magrittr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pipe.c -o pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o magrittr.so pipe.o utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-magrittr/00new/magrittr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (magrittr) * installing *source* package 'mvtnorm' ... ** this is package 'mvtnorm' version '1.3-3' ** package 'mvtnorm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c C_FORTRAN_interface.c -o C_FORTRAN_interface.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lpmvnorm.c -o lpmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ltMatrices.c -o ltMatrices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miwa.c -o miwa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mvt.f -o mvt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mvtnorm-init.c -o mvtnorm-init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tvpack.f -o tvpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mvtnorm.so C_FORTRAN_interface.o lpmvnorm.o ltMatrices.o miwa.o mvt.o mvtnorm-init.o tvpack.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mvtnorm/00new/mvtnorm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvtnorm) * installing *source* package 'nanoparquet' ... ** this is package 'nanoparquet' version '0.4.3' ** package 'nanoparquet' successfully unpacked and MD5 sums checked ** using staged installation ** using 28 processors (unless configured differently in Makeconf). ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib/ParquetReader.cpp -o lib/ParquetReader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RParquetReader.cpp -o RParquetReader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RParquetAppender.cpp -o RParquetAppender.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RParquetOutFile.cpp -o RParquetOutFile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-utils.cpp -o r-utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rwrapper.cpp -o rwrapper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c protect.cpp -o protect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read2.cpp -o read2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write2.cpp -o write2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp-utils.cpp -o cpp-utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read-metadata.cpp -o read-metadata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read-pages.cpp -o read-pages.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arrow-schema.cpp -o arrow-schema.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.cpp -o base64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-base64.cpp -o r-base64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snappy.cpp -o snappy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c encodings.cpp -o encodings.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dictionary-encoding.cpp -o dictionary-encoding.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test.cpp -o test.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib/ParquetOutFile.cpp -o lib/ParquetOutFile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib/RleBpDecoder.cpp -o lib/RleBpDecoder.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parquet/parquet_types.cpp -o parquet/parquet_types.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thrift/protocol/TProtocol.cpp -o thrift/protocol/TProtocol.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thrift/transport/TTransportException.cpp -o thrift/transport/TTransportException.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thrift/transport/TBufferTransports.cpp -o thrift/transport/TBufferTransports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastpforlib/bitpacking.cpp -o fastpforlib/bitpacking.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snappy/snappy.cc -o snappy/snappy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snappy/snappy-sinksource.cc -o snappy/snappy-sinksource.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miniz/miniz.cpp -o miniz/miniz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/entropy_common.cpp -o zstd/common/entropy_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/error_private.cpp -o zstd/common/error_private.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/fse_decompress.cpp -o zstd/common/fse_decompress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/xxhash.cpp -o zstd/common/xxhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/common/zstd_common.cpp -o zstd/common/zstd_common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/huf_decompress.cpp -o zstd/decompress/huf_decompress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/zstd_ddict.cpp -o zstd/decompress/zstd_ddict.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/zstd_decompress.cpp -o zstd/decompress/zstd_decompress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/decompress/zstd_decompress_block.cpp -o zstd/decompress/zstd_decompress_block.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/fse_compress.cpp -o zstd/compress/fse_compress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/hist.cpp -o zstd/compress/hist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/huf_compress.cpp -o zstd/compress/huf_compress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress.cpp -o zstd/compress/zstd_compress.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress_literals.cpp -o zstd/compress/zstd_compress_literals.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress_sequences.cpp -o zstd/compress/zstd_compress_sequences.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_compress_superblock.cpp -o zstd/compress/zstd_compress_superblock.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_double_fast.cpp -o zstd/compress/zstd_double_fast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_fast.cpp -o zstd/compress/zstd_fast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_lazy.cpp -o zstd/compress/zstd_lazy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_ldm.cpp -o zstd/compress/zstd_ldm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zstd/compress/zstd_opt.cpp -o zstd/compress/zstd_opt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nanoparquet.so lib/ParquetReader.o RParquetReader.o RParquetAppender.o RParquetOutFile.o r-utils.o rwrapper.o protect.o read2.o write2.o cpp-utils.o read-metadata.o read-pages.o arrow-schema.o base64.o r-base64.o snappy.o encodings.o dictionary-encoding.o test.o lib/ParquetOutFile.o lib/RleBpDecoder.o parquet/parquet_types.o thrift/protocol/TProtocol.o thrift/transport/TTransportException.o thrift/transport/TBufferTransports.o fastpforlib/bitpacking.o snappy/snappy.o snappy/snappy-sinksource.o miniz/miniz.o zstd/common/entropy_common.o zstd/common/error_private.o zstd/common/fse_decompress.o zstd/common/xxhash.o zstd/common/zstd_common.o zstd/decompress/huf_decompress.o zstd/decompress/zstd_ddict.o zstd/decompress/zstd_decompress.o zstd/decompress/zstd_decompress_block.o zstd/compress/fse_compress.o zstd/compress/hist.o zstd/compress/huf_compress.o zstd/compress/zstd_compress.o zstd/compress/zstd_compress_literals.o zstd/compress/zstd_compress_sequences.o zstd/compress/zstd_compress_superblock.o zstd/compress/zstd_double_fast.o zstd/compress/zstd_fast.o zstd/compress/zstd_lazy.o zstd/compress/zstd_ldm.o zstd/compress/zstd_opt.o installing via 'install.libs.R' to /tmp/th798/27261227/R-release/841/library/00LOCK-nanoparquet/00new/nanoparquet ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nanoparquet) * installing *source* package 'numDeriv' ... ** this is package 'numDeriv' version '2016.8-1.1' ** package 'numDeriv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (numDeriv) * installing *source* package 'pbapply' ... ** this is package 'pbapply' version '1.7-4' ** package 'pbapply' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbapply) * installing *source* package 'polspline' ... ** this is package 'polspline' version '1.1.25' ** package 'polspline' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c allpack.f -o allpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hareall.c -o hareall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c heftall.c -o heftall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lsdall.c -o lsdall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lspecall.c -o lspecall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nlsd.c -o nlsd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c polyall.c -o polyall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c polymars.c -o polymars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c registerDynamicSymbol.c -o registerDynamicSymbol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o polspline.so allpack.o hareall.o heftall.o lsdall.o lspecall.o nlsd.o polyall.o polymars.o registerDynamicSymbol.o -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-polspline/00new/polspline/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (polspline) * installing *source* package 'pscl' ... ** this is package 'pscl' version '1.5.9' ** package 'pscl' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c IDEAL.c -o IDEAL.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bayesreg.c -o bayesreg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c check.c -o check.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chol.c -o chol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c crossprod.c -o crossprod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmatTOdvec.c -o dmatTOdvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dtnorm.c -o dtnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dvecTOdmat.c -o dvecTOdmat.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gaussj.c -o gaussj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pi.c -o pi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predict.c -o predict.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c printmat.c -o printmat.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c renormalize.c -o renormalize.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rigamma.c -o rigamma.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmvnorm.c -o rmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updateb.c -o updateb.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updatex.c -o updatex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updatey.c -o updatey.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c util.c -o util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xchol.c -o xchol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xreg.c -o xreg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pscl.so IDEAL.o bayesreg.o check.o chol.o crossprod.o dmatTOdvec.o dtnorm.o dvecTOdmat.o gaussj.o init.o pi.o predict.o printmat.o renormalize.o rigamma.o rmvnorm.o updateb.o updatex.o updatey.o util.o xchol.o xreg.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-pscl/00new/pscl/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pscl) * installing *source* package 'Rdatasets' ... ** this is package 'Rdatasets' version '0.0.1' ** package 'Rdatasets' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rdatasets) * installing *source* package 'remotes' ... ** this is package 'remotes' version '2.5.0' ** package 'remotes' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (remotes) * installing *source* package 'rstudioapi' ... ** this is package 'rstudioapi' version '0.18.0' ** package 'rstudioapi' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstudioapi) * installing *source* package 'rsvg' ... ** this is package 'rsvg' version '2.7.0' ** package 'rsvg' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-pthread -I/home/th798/.conda/envs/emacs1/include/librsvg-2.0 -I/home/th798/.conda/envs/emacs1/include/gdk-pixbuf-2.0 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/cairo -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/pixman-1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lrsvg-2 -lm -lgio-2.0 -lgdk_pixbuf-2.0 -lgobject-2.0 -lglib-2.0 -lcairo ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -I/home/th798/.conda/envs/emacs1/include/librsvg-2.0 -I/home/th798/.conda/envs/emacs1/include/gdk-pixbuf-2.0 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/cairo -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/pixman-1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.cc -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -I/home/th798/.conda/envs/emacs1/include/librsvg-2.0 -I/home/th798/.conda/envs/emacs1/include/gdk-pixbuf-2.0 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/cairo -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/pixman-1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rsvg.c -o rsvg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rsvg.so dummy.o rsvg.o -L/home/th798/.conda/envs/emacs1/lib -lrsvg-2 -lm -lgio-2.0 -lgdk_pixbuf-2.0 -lgobject-2.0 -lglib-2.0 -lcairo installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rsvg/00new/rsvg/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rsvg) * installing *source* package 'scam' ... ** this is package 'scam' version '1.2-21' ** package 'scam' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c scam_init.c -o scam_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c someone.c -o someone.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o scam.so scam_init.o someone.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-scam/00new/scam/libs ** R ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scam) * installing *source* package 'tictoc' ... ** this is package 'tictoc' version '1.2.1' ** package 'tictoc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tictoc) * installing *source* package 'tinytable' ... ** this is package 'tinytable' version '0.16.0' ** package 'tinytable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'nrow' from package 'base' in package 'tinytable' Creating a generic function for 'ncol' from package 'base' in package 'tinytable' Creating a generic function for 'colnames' from package 'base' in package 'tinytable' Creating a generic function for 'colnames<-' from package 'base' in package 'tinytable' ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinytable) * installing *source* package 'tinytest' ... ** this is package 'tinytest' version '1.4.1' ** package 'tinytest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinytest) * installing *source* package 'titanic' ... ** this is package 'titanic' version '0.1.0' ** package 'titanic' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (titanic) * installing *source* package 'tsModel' ... ** this is package 'tsModel' version '0.6-2' ** package 'tsModel' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tsModel) * installing *source* package 'withr' ... ** this is package 'withr' version '3.0.2' ** package 'withr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (withr) * installing *source* package 'yaml' ... ** this is package 'yaml' version '2.3.12' ** package 'yaml' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.c -o api.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dumper.c -o dumper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c emitter.c -o emitter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c implicit.c -o implicit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loader.c -o loader.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parser.c -o parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_emit.c -o r_emit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_ext.c -o r_ext.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_parse.c -o r_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reader.c -o reader.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c scanner.c -o scanner.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c writer.c -o writer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o yaml.so api.o dumper.o emitter.o implicit.o loader.o parser.o r_emit.o r_ext.o r_parse.o reader.o scanner.o writer.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-yaml/00new/yaml/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yaml) * installing *source* package 'progressr' ... ** this is package 'progressr' version '0.18.0' ** package 'progressr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (progressr) * installing *source* package 'diagram' ... ** this is package 'diagram' version '1.6.5' ** package 'diagram' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diagram) * installing *source* package 'e1071' ... ** this is package 'e1071' version '1.7-17' ** package 'e1071' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rsvm.c -o Rsvm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cmeans.c -o cmeans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cshell.c -o cshell.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c floyd.c -o floyd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c svm.cpp -o svm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o e1071.so Rsvm.o cmeans.o cshell.o floyd.o init.o svm.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-e1071/00new/e1071/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (e1071) * installing *source* package 'PRROC' ... ** this is package 'PRROC' version '1.4' ** package 'PRROC' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PRROC) * installing *source* package 'prabclus' ... ** this is package 'prabclus' version '2.3-5' ** package 'prabclus' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prabclus) * installing *source* package 'lhs' ... ** this is package 'lhs' version '1.2.1' ** package 'lhs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c COrthogonalArray.cpp -o COrthogonalArray.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GaloisField.cpp -o GaloisField.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ak3.cpp -o ak3.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c akconst.cpp -o akconst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c akn.cpp -o akn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c construct.cpp -o construct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c geneticLHS.cpp -o geneticLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c improvedLHS.cpp -o improvedLHS.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lhs_r.cpp -o lhs_r.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lhs_r_utilities.cpp -o lhs_r_utilities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c maximinLHS.cpp -o maximinLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oa.cpp -o oa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oaLHS.cpp -o oaLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oa_r.cpp -o oa_r.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oa_r_utils.cpp -o oa_r_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c oalhs_r.cpp -o oalhs_r.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optSeededLHS.cpp -o optSeededLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optimumLHS.cpp -o optimumLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c primes.cpp -o primes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c randomLHS.cpp -o randomLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runif.cpp -o runif.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rutils.cpp -o rutils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DRCOMPILE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilityLHS.cpp -o utilityLHS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lhs.so COrthogonalArray.o GaloisField.o ak3.o akconst.o akn.o construct.o geneticLHS.o improvedLHS.o init.o lhs_r.o lhs_r_utilities.o maximinLHS.o oa.o oaLHS.o oa_r.o oa_r_utils.o oalhs_r.o optSeededLHS.o optimumLHS.o primes.o randomLHS.o runif.o rutils.o utilityLHS.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lhs/00new/lhs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lhs) * installing *source* package 'litedown' ... ** this is package 'litedown' version '0.9' ** package 'litedown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (litedown) * installing *source* package 'plyr' ... ** this is package 'plyr' version '1.8.9' ** package 'plyr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loop_apply.c -o loop_apply.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c split-numeric.cpp -o split-numeric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o plyr.so RcppExports.o loop_apply.o split-numeric.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-plyr/00new/plyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plyr) * installing *source* package 'cachem' ... ** this is package 'cachem' version '1.1.0' ** package 'cachem' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cache.c -o cache.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cachem.so cache.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-cachem/00new/cachem/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cachem) * installing *source* package 'tzdb' ... ** this is package 'tzdb' version '0.5.0' ** package 'tzdb' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.cpp -o api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c names.cpp -o names.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c path.cpp -o path.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tz.cpp -o tz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.cpp -o version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tzdb.so api.o cpp11.o names.o path.o tz.o version.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-tzdb/00new/tzdb/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tzdb) * installing *source* package 'lavaan' ... ** this is package 'lavaan' version '0.6-21' ** package 'lavaan' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lavaan) * installing *source* package 'lgr' ... ** this is package 'lgr' version '0.5.2' ** package 'lgr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lgr) * installing *source* package 'mirai' ... ** this is package 'mirai' version '2.6.1' ** package 'mirai' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mirai) * installing *source* package 'spacefillr' ... ** this is package 'spacefillr' version '0.4.0' ** package 'spacefillr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c generate_point_functions.cpp -o generate_point_functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o spacefillr.so RcppExports.o generate_point_functions.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-spacefillr/00new/spacefillr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spacefillr) * installing *source* package 'askpass' ... ** this is package 'askpass' version '1.2.1' ** package 'askpass' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c askpass.c -o askpass.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o askpass.so askpass.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-askpass/00new/askpass/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (askpass) * installing *source* package 'lobstr' ... ** this is package 'lobstr' version '1.2.0' ** package 'lobstr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c address.cpp -o address.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inspect.cpp -o inspect.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lobstr.cpp -o lobstr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c size.cpp -o size.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lobstr.so address.o cpp11.o inspect.o lobstr.o rlang.o size.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lobstr/00new/lobstr/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lobstr) * installing *source* package 'pcaPP' ... ** this is package 'pcaPP' version '2.0-5' ** package 'pcaPP' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c L1Median_HoCr.cpp -o L1Median_HoCr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c L1Median_VardiZhang.cpp -o L1Median_VardiZhang.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ML_meal.cpp -o ML_meal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ML_package.cpp -o ML_package.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ML_passrng.cpp -o ML_passrng.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c PCAgrid.cpp -o PCAgrid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c PCAproj.cpp -o PCAproj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_meal.cpp -o R_meal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_meal_BLAS.cpp -o R_meal_BLAS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R_package.cpp -o R_package.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cov.kendall.cpp -o cov.kendall.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hess.cpp -o hess.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c l1median.cpp -o l1median.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c outSDo.cpp -o outSDo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pcaPP.cpp -o pcaPP.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pcaPP_init.c -o pcaPP_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qnn.cpp -o qnn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_PACKAGE_FILE -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c smat.cpp -o smat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o pcaPP.so L1Median_HoCr.o L1Median_VardiZhang.o ML_meal.o ML_package.o ML_passrng.o PCAgrid.o PCAproj.o R_meal.o R_meal_BLAS.o R_package.o cov.kendall.o hess.o l1median.o outSDo.o pcaPP.o pcaPP_init.o qnn.o smat.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-pcaPP/00new/pcaPP/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pcaPP) * installing *source* package 'xts' ... ** this is package 'xts' version '0.14.2' ** package 'xts' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c add_class.c -o add_class.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any.c -o any.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attr.c -o attr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binsearch.c -o binsearch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coredata.c -o coredata.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dimnames.c -o dimnames.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c endpoints.c -o endpoints.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extract_col.c -o extract_col.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isOrdered.c -o isOrdered.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isXts.c -o isXts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lag.c -o lag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c merge.c -o merge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c na.c -o na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period_apply.c -o period_apply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period_arithmetic.c -o period_arithmetic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period_quantile.c -o period_quantile.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbind.c -o rbind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rollfun.c -o rollfun.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runSum.c -o runSum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c startofyear.c -o startofyear.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c toperiod.c -o toperiod.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c totalcols.c -o totalcols.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tryXts.c -o tryXts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/zoo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unique.time.c -o unique.time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xts.so add_class.o any.o attr.o binsearch.o coredata.o dimnames.o endpoints.o extract_col.o init.o isOrdered.o isXts.o lag.o merge.o na.o period_apply.o period_arithmetic.o period_quantile.o rbind.o rollfun.o runSum.o startofyear.o subset.o toperiod.o totalcols.o tryXts.o unique.time.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-xts/00new/xts/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xts) * installing *source* package 'timechange' ... ** this is package 'timechange' version '0.4.0' ** package 'timechange' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common.cpp -o common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get.cpp -o get.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c round.cpp -o round.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tzone.cpp -o tzone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c update.cpp -o update.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_fixed.cc -o cctz/src/time_zone_fixed.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_if.cc -o cctz/src/time_zone_if.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_impl.cc -o cctz/src/time_zone_impl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_info.cc -o cctz/src/time_zone_info.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_libc.cc -o cctz/src/time_zone_libc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_lookup.cc -o cctz/src/time_zone_lookup.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/time_zone_posix.cc -o cctz/src/time_zone_posix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I./cctz/src/ -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cctz/src/zone_info_source.cc -o cctz/src/zone_info_source.o ar rcs libcctz.a ./cctz/src/time_zone_fixed.o ./cctz/src/time_zone_if.o ./cctz/src/time_zone_impl.o ./cctz/src/time_zone_info.o ./cctz/src/time_zone_libc.o ./cctz/src/time_zone_lookup.o ./cctz/src/time_zone_posix.o ./cctz/src/zone_info_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o timechange.so common.o cpp11.o get.o parse.o round.o tzone.o update.o -L. -lcctz installing to /tmp/th798/27261227/R-release/841/library/00LOCK-timechange/00new/timechange/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (timechange) * installing *source* package 'lmtest' ... ** this is package 'lmtest' version '0.9-40' ** package 'lmtest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pan.f -o pan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lmtest.so init.o pan.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lmtest/00new/lmtest/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lmtest) * installing *source* package 'RcppArmadillo' ... ** this is package 'RcppArmadillo' version '15.2.3-1' ** package 'RcppArmadillo' successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -E checking whether the compiler supports GNU C++... (cached) yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... (cached) yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... (cached) none needed checking what system we are on... running Linux on x86_64 checking whether we have a suitable tempdir... /tmp/th798/27261227 checking whether on Linux... yes checking whether R CMD SHLIB can already compile OpenMP programs... yes checking whether on macOS... no checking for OpenMP... found and suitable configure: creating ./config.status config.status: creating inst/include/RcppArmadillo/config/RcppArmadilloConfigGenerated.h config.status: creating src/Makevars ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppArmadillo.cpp -o RcppArmadillo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastLm.cpp -o fastLm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppArmadillo.so RcppArmadillo.o RcppExports.o fastLm.o -fopenmp -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-RcppArmadillo/00new/RcppArmadillo/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppArmadillo) * installing *source* package 'bit64' ... ** this is package 'bit64' version '4.6.0-1' ** package 'bit64' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsearch.c -o bsearch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cache.c -o cache.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash64.c -o hash64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integer64.c -o integer64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sort64.c -o sort64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sortuse64.c -o sortuse64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bit64.so bsearch.o cache.o hash64.o init.o integer64.o sort64.o sortuse64.o -lm installing to /tmp/th798/27261227/R-release/841/library/00LOCK-bit64/00new/bit64/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bit64) * installing *source* package 'datawizard' ... ** this is package 'datawizard' version '1.3.0' ** package 'datawizard' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (datawizard) * installing *source* package 'flexmix' ... ** this is package 'flexmix' version '2.3-20' ** package 'flexmix' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (flexmix) * installing *source* package 'lifecycle' ... ** this is package 'lifecycle' version '1.0.5' ** package 'lifecycle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lifecycle) * installing *source* package 'rex' ... ** this is package 'rex' version '1.2.1' ** package 'rex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rex) ERROR: dependency 'Icens' is not available for package 'interval' Perhaps try a variation of: install.packages('Icens') * removing '/tmp/th798/27261227/R-release/841/library/interval' * installing *source* package 'Rdpack' ... ** this is package 'Rdpack' version '2.6.6' ** package 'Rdpack' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rdpack) * installing *source* package 'RcppEigen' ... ** this is package 'RcppEigen' version '0.3.4.0.2' ** package 'RcppEigen' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppEigen.cpp -o RcppEigen.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastLm.cpp -o fastLm.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124: required from 'class Eigen::ColPivHouseholderQR >' fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from 'class Eigen::ColPivHouseholderQR >' fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' fastLm.h:53:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' fastLm.h:54:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' fastLm.h:67:65: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' fastLm.cpp:51:29: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' fastLm.cpp:64:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' fastLm.cpp:68:24: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:74:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:96:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' fastLm.cpp:98:48: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >' fastLm.cpp:99:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' fastLm.cpp:104:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' fastLm.cpp:106:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' fastLm.cpp:107:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:118:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:127:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' fastLm.cpp:127:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' fastLm.cpp:129:40: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' fastLm.cpp:134:18: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' fastLm.cpp:139:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' fastLm.cpp:141:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' fastLm.cpp:141:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1>, Eigen::Matrix >, 0> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >' fastLm.cpp:141:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >' fastLm.cpp:141:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' fastLm.cpp:163:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' fastLm.cpp:163:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper > >, 1>' fastLm.cpp:163:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' fastLm.cpp:164:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' fastLm.cpp:172:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' fastLm.cpp:172:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' fastLm.cpp:180:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' fastLm.cpp:182:47: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' fastLm.cpp:182:56: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' fastLm.cpp:182:70: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' fastLm.cpp:183:51: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' fastLm.cpp:230:49: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' fastLm.cpp:235:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' fastLm.cpp:235:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase >::CastXpr' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:111:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' fastLm.cpp:73:35: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:33: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:91: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:233:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:330: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:394:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:19: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix >, 0>' ../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' ../inst/include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, -1, -1, false> >, 6>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:277: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, -1, -1, false> >, 1>' ../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:66:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:123:11: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:12: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:20: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from 'Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 2, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, 2, false>, 1>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 2, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 2, false> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:233:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from 'Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:123:11: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ../inst/include/Eigen/src/Householder/Householder.h:130:9: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:333: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' fastLm.cpp:104:43: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from 'struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:121:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >, Eigen::internal::assign_op, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:121:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:337: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:166: ../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:141:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:141:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Transpose >, 0>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-RcppEigen/00new/RcppEigen/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppEigen) * installing *source* package 'stringmagic' ... ** this is package 'stringmagic' version '1.2.0' ** package 'stringmagic' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_tools.cpp -o string_tools.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringmagic.cpp -o stringmagic.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stringmagic_parser.cpp -o stringmagic_parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_index.cpp -o to_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o stringmagic.so RcppExports.o string_tools.o stringmagic.o stringmagic_parser.o to_index.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-stringmagic/00new/stringmagic/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stringmagic) * installing *source* package 'mstate' ... ** this is package 'mstate' version '0.3.3' ** package 'mstate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agmssurv.c -o agmssurv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mstate_init.c -o mstate_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mstate.so agmssurv.o mstate_init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mstate/00new/mstate/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mstate) * installing *source* package 'foreach' ... ** this is package 'foreach' version '1.5.2' ** package 'foreach' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (foreach) * installing *source* package 'isoband' ... ** this is package 'isoband' version '0.3.0' ** package 'isoband' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clip-lines.cpp -o clip-lines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c isoband.cpp -o isoband.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c polygon.cpp -o polygon.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c separate-polygons.cpp -o separate-polygons.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-clip-lines.cpp -o test-clip-lines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-runner.cpp -o test-runner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-separate-polygons.cpp -o test-separate-polygons.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o isoband.so clip-lines.o cpp11.o isoband.o polygon.o separate-polygons.o test-clip-lines.o test-runner.o test-separate-polygons.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-isoband/00new/isoband/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (isoband) * installing *source* package 'xml2' ... ** this is package 'xml2' version '1.5.2' ** package 'xml2' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c connection.cpp -o connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_doc.cpp -o xml2_doc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_init.c -o xml2_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_namespace.cpp -o xml2_namespace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_node.cpp -o xml2_node.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_output.cpp -o xml2_output.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_schema.cpp -o xml2_schema.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_url.cpp -o xml2_url.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DUCHAR_TYPE=wchar_t -DU_SHOW_CPLUSPLUS_API=0 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xml2_xpath.cpp -o xml2_xpath.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xml2.so connection.o init.o xml2_doc.o xml2_init.o xml2_namespace.o xml2_node.o xml2_output.o xml2_schema.o xml2_url.o xml2_xpath.o -L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl installing to /tmp/th798/27261227/R-release/841/library/00LOCK-xml2/00new/xml2/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xml2) * installing *source* package 'htmltools' ... ** this is package 'htmltools' version '0.5.9' ** package 'htmltools' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c template.c -o template.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o htmltools.so init.o template.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-htmltools/00new/htmltools/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (htmltools) * installing *source* package 'minqa' ... ** this is package 'minqa' version '1.2.8' ** package 'minqa' successfully unpacked and MD5 sums checked ** using staged installation ** libs using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c altmov.f -o altmov.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bigden.f -o bigden.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c biglag.f -o biglag.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bobyqa.f -o bobyqa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bobyqb.f -o bobyqb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lagmax.f -o lagmax.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c minqa.cpp -o minqa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c newuoa.f -o newuoa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c newuob.f -o newuob.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c prelim.f -o prelim.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rescue.f -o rescue.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c trsapp.f -o trsapp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c trsbox.f -o trsbox.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c trstep.f -o trstep.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c uobyqa.f -o uobyqa.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c uobyqb.f -o uobyqb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c update.f -o update.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c updatebobyqa.f -o updatebobyqa.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o minqa.so altmov.o bigden.o biglag.o bobyqa.o bobyqb.o lagmax.o minqa.o newuoa.o newuob.o prelim.o rescue.o trsapp.o trsbox.o trstep.o uobyqa.o uobyqb.o update.o updatebobyqa.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-minqa/00new/minqa/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (minqa) * installing *source* package 'formula.tools' ... ** this is package 'formula.tools' version '1.7.1' ** package 'formula.tools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (formula.tools) * installing *source* package 'memisc' ... ** this is package 'memisc' version '0.99.31.8.3' ** package 'memisc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dta-for-R.c -o dta-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dta117-for-R.c -o dta117-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dumbswap.c -o dumbswap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init-memisc.c -o init-memisc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c numeric_if_possible.c -o numeric_if_possible.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsehelpers.c -o parsehelpers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pspp-portableStream-for-R.c -o pspp-portableStream-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pspp-system-for-R.c -o pspp-system-for-R.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readfixed.c -o readfixed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rofile.c -o rofile.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c update_data_frame.c -o update_data_frame.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o memisc.so dta-for-R.o dta117-for-R.o dumbswap.o init-memisc.o numeric_if_possible.o parsehelpers.o pspp-portableStream-for-R.o pspp-system-for-R.o readfixed.o rofile.o update_data_frame.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-memisc/00new/memisc/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for 'contrasts' in package 'memisc' in method for 'description' with signature '"tbl_df"': no definition for class "tbl_df" in method for 'codebook' with signature '"tbl_df"': no definition for class "tbl_df" Creating a generic function for 'contrasts<-' from package 'stats' in package 'memisc' Creating a generic function for 'as.ordered' from package 'base' in package 'memisc' Creating a generic function for 'as.factor' from package 'base' in package 'memisc' Creating a generic function for '%in%' from package 'base' in package 'memisc' Creating a generic function for 'sample' from package 'base' in package 'memisc' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (memisc) * installing *source* package 'ape' ... ** this is package 'ape' version '5.8-1' ** package 'ape' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c BIONJ.c -o BIONJ.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NNI.c -o NNI.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SPR.c -o SPR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c additive.c -o additive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ape.c -o ape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bNNI.c -o bNNI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bionjs.c -o bionjs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bipartition.c -o bipartition.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bitsplits.c -o bitsplits.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c delta_plot.c -o delta_plot.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dist_dna.c -o dist_dna.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dist_nodes.c -o dist_nodes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ewLasso.c -o ewLasso.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c heap.c -o heap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mat_expo.c -o mat_expo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c me.c -o me.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c me_balanced.c -o me_balanced.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c me_ols.c -o me_ols.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mvr.c -o mvr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mvrs.c -o mvrs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nj.c -o nj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c njs.c -o njs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pic.c -o pic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c plot_phylo.c -o plot_phylo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prop_part.cpp -o prop_part.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rTrait.c -o rTrait.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_dna.c -o read_dna.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder_Rcpp.cpp -o reorder_Rcpp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder_phylo.c -o reorder_phylo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treePop.c -o treePop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tree_build.c -o tree_build.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tree_phylo.c -o tree_phylo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c triangMtd.c -o triangMtd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c triangMtds.c -o triangMtds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ultrametric.c -o ultrametric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ape.so BIONJ.o NNI.o RcppExports.o SPR.o additive.o ape.o bNNI.o bionjs.o bipartition.o bitsplits.o delta_plot.o dist_dna.o dist_nodes.o ewLasso.o heap.o mat_expo.o me.o me_balanced.o me_ols.o mvr.o mvrs.o nj.o njs.o pic.o plot_phylo.o prop_part.o rTrait.o read_dna.o reorder_Rcpp.o reorder_phylo.o treePop.o tree_build.o tree_phylo.o triangMtd.o triangMtds.o ultrametric.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ape/00new/ape/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ape) * installing *source* package 'cubature' ... ** this is package 'cubature' version '2.1.4-1' ** package 'cubature' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' ((cd Cuba && \ ./configure && \ make libcuba.a CC="/packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17" CFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I"/home/th798/R/R-release/include" -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic" AR="ar" ARFLAGS="-rv" RANLIB="ranlib") && \ touch cuba.ts) checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 option to enable C11 features... none needed checking whether the compiler supports GNU Fortran... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gfortran accepts -g... yes checking for ranlib... ranlib checking for a BSD-compatible install... /usr/bin/install -c checking for an ANSI C-conforming const... yes checking for inline... inline checking for long double... yes checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for vfork.h... no checking for size_t... yes checking for ssize_t... yes checking for pid_t... yes checking for powl... yes checking for erf... yes checking for fork... yes checking for vfork... yes checking for working fork... yes checking for working vfork... (cached) yes checking for working alloca.h... yes checking for alloca... yes checking for shmget... yes checking for getloadavg... yes checking for variable-size arrays... yes checking for MathLink... no checking for qmake... no configure: creating ./config.status config.status: creating makefile config.status: creating config.h make[1]: Entering directory '/tmp/th798/27261227/RtmpFVKkNk/R.INSTALL2d67f410fd3dd3/cubature/src/Cuba' /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -DNOUNDERSCORE -c -o r_helpers.o ./src/common/r_helpers.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/vegas -DNOUNDERSCORE -c -o Vegas.o ./src/vegas/Vegas.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/suave -DNOUNDERSCORE -c -o Suave.o ./src/suave/Suave.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/divonne -DNOUNDERSCORE -c -o Divonne.o ./src/divonne/Divonne.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -I./src/cuhre -DNOUNDERSCORE -c -o Cuhre.o ./src/cuhre/Cuhre.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -DNOUNDERSCORE -c -o Fork.o ./src/common/Fork.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -DNOUNDERSCORE -c -o Global.o ./src/common/Global.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c -o Data.o ./src/common/Data.c ar -rv libcuba.a Vegas.o Suave.o Divonne.o Cuhre.o Fork.o Global.o r_helpers.o Data.o ar: creating libcuba.a a - Vegas.o a - Suave.o a - Divonne.o a - Cuhre.o a - Fork.o a - Global.o a - r_helpers.o a - Data.o rm -f Vegas.o Suave.o Divonne.o Cuhre.o Fork.o Global.o r_helpers.o Data.o ranlib libcuba.a make[1]: Leaving directory '/tmp/th798/27261227/RtmpFVKkNk/R.INSTALL2d67f410fd3dd3/cubature/src/Cuba' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rcpp-Cuba.cpp -o Rcpp-Cuba.o ((cd cubature-1.0.4 && \ (make libcubature.a CC="/packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17" CFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I"/home/th798/R/R-release/include" -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic" AR="ar" RANLIB="ranlib")) && \ touch cubature.ts) make[1]: Entering directory '/tmp/th798/27261227/RtmpFVKkNk/R.INSTALL2d67f410fd3dd3/cubature/src/cubature-1.0.4' /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c -o hcubature.o hcubature.c /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I/home/th798/R/R-release/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -c -o pcubature.o pcubature.c ar cr libcubature.a hcubature.o pcubature.o ranlib libcubature.a make[1]: Leaving directory '/tmp/th798/27261227/RtmpFVKkNk/R.INSTALL2d67f410fd3dd3/cubature/src/cubature-1.0.4' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rcpp-cubature.cpp -o Rcpp-cubature.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -std=gnu17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I../inst/include -I../../inst/include -I./src/common -D_R_INTERFACE -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cubature_init.c -o cubature_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cubature.so Rcpp-Cuba.o Rcpp-cubature.o RcppExports.o cubature_init.o -L./cubature-1.0.4 -L./Cuba -lcubature -lcuba installing to /tmp/th798/27261227/R-release/841/library/00LOCK-cubature/00new/cubature/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cubature) * installing *source* package 'mitools' ... ** this is package 'mitools' version '2.4' ** package 'mitools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mitools) * installing *source* package 'rlemon' ... ** this is package 'rlemon' version '0.2.1' ** package 'rlemon' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RInterfaces.cpp -o RInterfaces.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base.cpp -o base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c random.cpp -o random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rlemon.so RInterfaces.o RcppExports.o base.o random.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rlemon/00new/rlemon/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rlemon) * installing *source* package 'libcoin' ... ** this is package 'libcoin' version '1.0-11' ** package 'libcoin' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/mvtnorm/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libcoin-init.c -o libcoin-init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/mvtnorm/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libcoin.c -o libcoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o libcoin.so libcoin-init.o libcoin.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-libcoin/00new/libcoin/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (libcoin) * installing *source* package 'desc' ... ** this is package 'desc' version '1.4.3' ** package 'desc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (desc) * installing *source* package 'miscTools' ... ** this is package 'miscTools' version '0.6-30' ** package 'miscTools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (miscTools) * installing *source* package 'optimx' ... ** this is package 'optimx' version '2025-4.9' ** package 'optimx' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (optimx) * installing *source* package 'sessioninfo' ... ** this is package 'sessioninfo' version '1.2.3' ** package 'sessioninfo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sessioninfo) * installing *source* package 'RcppTOML' ... ** this is package 'RcppTOML' version '0.2.3' ** package 'RcppTOML' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DTOML_ENABLE_FLOAT16=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DTOML_ENABLE_FLOAT16=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.cpp -o parse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppTOML.so RcppExports.o parse.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-RcppTOML/00new/RcppTOML/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppTOML) * installing *source* package 'tinytex' ... ** this is package 'tinytex' version '0.58' ** package 'tinytex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinytex) * installing *source* package 'fastGHQuad' ... ** this is package 'fastGHQuad' version '1.0.1' ** package 'fastGHQuad' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib.cpp -o lib.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fastGHQuad.so init.o lib.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-fastGHQuad/00new/fastGHQuad/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fastGHQuad) * installing *source* package 'bbmle' ... ** this is package 'bbmle' version '1.0.25.1' ** package 'bbmle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bbmle) * installing *source* package 'lsoda' ... ** this is package 'lsoda' version '1.2' ** package 'lsoda' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unit.cpp -o unit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lsoda.so RcppExports.o unit.o -fopenmp -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lsoda/00new/lsoda/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lsoda) * installing *source* package 'hunspell' ... ** this is package 'hunspell' version '3.0.6' ** package 'hunspell' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dictionary.cpp -o dictionary.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parser.cpp -o parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/textparser.cc -o parsers/textparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/latexparser.cc -o parsers/latexparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/manparser.cc -o parsers/manparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/xmlparser.cc -o parsers/xmlparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parsers/htmlparser.cc -o parsers/htmlparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/affentry.cc -o hunspell/affentry.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/affixmgr.cc -o hunspell/affixmgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/filemgr.cc -o hunspell/filemgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/hashmgr.cc -o hunspell/hashmgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/hunspell.cc -o hunspell/hunspell.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/hunzip.cc -o hunspell/hunzip.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/phonet.cc -o hunspell/phonet.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/replist.cc -o hunspell/replist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/suggestmgr.cc -o hunspell/suggestmgr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ihunspell -DBUILDING_LIBHUNSPELL -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hunspell/csutil.cc -o hunspell/csutil.o ar rcs hunspell/libstathunspell.a parsers/textparser.o parsers/latexparser.o parsers/manparser.o parsers/xmlparser.o parsers/htmlparser.o hunspell/affentry.o hunspell/affixmgr.o hunspell/filemgr.o hunspell/hashmgr.o hunspell/hunspell.o hunspell/hunzip.o hunspell/phonet.o hunspell/replist.o hunspell/suggestmgr.o hunspell/csutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o hunspell.so RcppExports.o dictionary.o parser.o -Lhunspell -lstathunspell installing to /tmp/th798/27261227/R-release/841/library/00LOCK-hunspell/00new/hunspell/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hunspell) * installing *source* package 'diffobj' ... ** this is package 'diffobj' version '0.3.6' ** package 'diffobj' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diffobj.c -o diffobj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o diffobj.so diff.o diffobj.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-diffobj/00new/diffobj/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diffobj) * installing *source* package 'magick' ... ** this is package 'magick' version '2.9.1' ** package 'magick' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lMagick++-7.Q16HDRI -lMagickWand-7.Q16HDRI -lMagickCore-7.Q16HDRI Warning: you seem to be using conda. Better install this package using instructions on https://anaconda.org/conda-forge/r-magick ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c animation.cpp -o animation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attributes.cpp -o attributes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base.cpp -o base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c color.cpp -o color.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c composite.cpp -o composite.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c config.cc -o config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c convolve.cpp -o convolve.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c device.cpp -o device.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c edges.cpp -o edges.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c edit.cpp -o edit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fonts.cpp -o fonts.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c options.cpp -o options.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c properties.cpp -o properties.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c resize.cpp -o resize.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c segment.cpp -o segment.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -DMAGICKCORE_HDRI_ENABLE=1 -DMAGICKCORE_QUANTUM_DEPTH=16 -I/home/th798/.conda/envs/emacs1/include/ImageMagick-7 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transformations.cpp -o transformations.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o magick.so RcppExports.o animation.o attributes.o base.o color.o composite.o config.o convolve.o device.o edges.o edit.o fonts.o options.o properties.o resize.o segment.o transformations.o -L/home/th798/.conda/envs/emacs1/lib -lMagick++-7.Q16HDRI -lMagickWand-7.Q16HDRI -lMagickCore-7.Q16HDRI installing to /tmp/th798/27261227/R-release/841/library/00LOCK-magick/00new/magick/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (magick) * installing *source* package 'highr' ... ** this is package 'highr' version '0.12' ** package 'highr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (highr) * installing *source* package 'later' ... ** this is package 'later' version '1.4.8' ** package 'later' successfully unpacked and MD5 sums checked ** using staged installation Running configure script -latomic linker flag not needed. ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callback_registry.cpp -o callback_registry.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c debug.cpp -o debug.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fd.cpp -o fd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c later.cpp -o later.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c later_posix.cpp -o later_posix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c later_win32.cpp -o later_win32.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timer_posix.cpp -o timer_posix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timestamp_unix.cpp -o timestamp_unix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timestamp_win32.cpp -o timestamp_win32.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tinycthread.c -o tinycthread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -pthread -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wref.c -o wref.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o later.so RcppExports.o callback_registry.o debug.o fd.o init.o later.o later_posix.o later_win32.o timer_posix.o timestamp_unix.o timestamp_win32.o tinycthread.o wref.o -pthread installing to /tmp/th798/27261227/R-release/841/library/00LOCK-later/00new/later/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (later) * installing *source* package 'processx' ... ** this is package 'processx' version '3.8.6' ** package 'processx' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall tools/px.c -o tools/px /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -I../inst/include -Wall tools/sock.c -o tools/sock /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 supervisor/supervisor.c \ supervisor/utils.c -o supervisor/supervisor /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c client.c -o client.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o client.so base64.o client.o errors.o \ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c poll.c -o poll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-connection.c -o processx-connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-vector.c -o processx-vector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c create-time.c -o create-time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/childlist.c -o unix/childlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/connection.c -o unix/connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/processx.c -o unix/processx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/sigchld.c -o unix/sigchld.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/utils.c -o unix/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/named_pipe.c -o unix/named_pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o processx.so init.o poll.o errors.o processx-connection.o processx-vector.o create-time.o base64.o unix/childlist.o unix/connection.o unix/processx.o unix/sigchld.o unix/utils.o unix/named_pipe.o cleancall.o installing via 'install.libs.R' to /tmp/th798/27261227/R-release/841/library/00LOCK-processx/00new/processx ** R ** inst ** byte-compile and prepare package for lazy loading R6Class process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (processx) * installing *source* package 'checkmate' ... ** this is package 'checkmate' version '2.3.4' ** package 'checkmate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c all_missing.c -o all_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any_infinite.c -o any_infinite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any_missing.c -o any_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c any_nan.c -o any_nan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c checks.c -o checks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c find_nchar.c -o find_nchar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c guess_type.c -o guess_type.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c helper.c -o helper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integerish.c -o integerish.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_sorted.c -o is_sorted.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qassert.c -o qassert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c which_first.c -o which_first.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o checkmate.so all_missing.o any_infinite.o any_missing.o any_nan.o checks.o find_nchar.o guess_type.o helper.o init.o integerish.o is_sorted.o qassert.o which_first.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-checkmate/00new/checkmate/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (checkmate) * installing *source* package 'biglm' ... ** this is package 'biglm' version '0.9-3' ** package 'biglm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boundedQR.c -o boundedQR.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c boundedQRf.f -o boundedQRf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o biglm.so boundedQR.o boundedQRf.o init.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-biglm/00new/biglm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (biglm) * installing *source* package 'brglm2' ... ** this is package 'brglm2' version '1.0.1' ** package 'brglm2' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expectations.c -o expectations.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brglm2.so expectations.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-brglm2/00new/brglm2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brglm2) * installing *source* package 'collapse' ... ** this is package 'collapse' version '2.1.6' ** package 'collapse' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ExportSymbols.c -o ExportSymbols.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TRA.c -o TRA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base_radixsort.c -o base_radixsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_init.c -o data.table_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_rbindlist.c -o data.table_rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_subset.c -o data.table_subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c data.table_utils.c -o data.table_utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extptr.c -o extptr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fbetween_fwithin.cpp -o fbetween_fwithin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fbstats.cpp -o fbstats.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcumsum.c -o fcumsum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fdiff_fgrowth.cpp -o fdiff_fgrowth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ffirst.c -o ffirst.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flag.cpp -o flag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flast.c -o flast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmean.c -o fmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmin_fmax.c -o fmin_fmax.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmode.c -o fmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fndistinct.c -o fndistinct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fnobs.c -o fnobs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fnth_fmedian_fquantile.c -o fnth_fmedian_fquantile.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fprod.c -o fprod.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fscale.cpp -o fscale.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsum.c -o fsum.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fvar_fsd.cpp -o fvar_fsd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsplit.c -o gsplit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c handle_attributes.c -o handle_attributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c join.c -o join.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kit_dup.c -o kit_dup.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match.c -o match.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mrtl_mctl.cpp -o mrtl_mctl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pivot.c -o pivot.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c psmat.cpp -o psmat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pwnobs.cpp -o pwnobs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qF_qG.cpp -o qF_qG.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c seqid_groupid.cpp -o seqid_groupid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c small_helper.c -o small_helper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stats_mAR.c -o stats_mAR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stats_pacf.c -o stats_pacf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c varying.cpp -o varying.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o collapse.so ExportSymbols.o RcppExports.o TRA.o base_radixsort.o data.table_init.o data.table_rbindlist.o data.table_subset.o data.table_utils.o extptr.o fbetween_fwithin.o fbstats.o fcumsum.o fdiff_fgrowth.o ffirst.o flag.o flast.o fmean.o fmin_fmax.o fmode.o fndistinct.o fnobs.o fnth_fmedian_fquantile.o fprod.o fscale.o fsum.o fvar_fsd.o gsplit.o handle_attributes.o join.o kit_dup.o match.o mrtl_mctl.o pivot.o programming.o psmat.o pwnobs.o qF_qG.o seqid_groupid.o small_helper.o stats_mAR.o stats_pacf.o varying.o -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-collapse/00new/collapse/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (collapse) * installing *source* package 'emmeans' ... ** this is package 'emmeans' version '2.0.2' ** package 'emmeans' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (emmeans) * installing *source* package 'fontquiver' ... ** this is package 'fontquiver' version '0.2.1' ** package 'fontquiver' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontquiver) * installing *source* package 'future' ... ** this is package 'future' version '1.69.0' ** package 'future' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future) * installing *source* package 'gamlss' ... ** this is package 'gamlss' version '5.5-0' ** package 'gamlss' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gamlss_init.c -o gamlss_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c genD.c -o genD.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gamlss.so gamlss_init.o genD.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-gamlss/00new/gamlss/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gamlss) * installing *source* package 'here' ... ** this is package 'here' version '1.0.2' ** package 'here' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (here) * installing *source* package 'itsadug' ... ** this is package 'itsadug' version '2.5' ** package 'itsadug' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (itsadug) * installing *source* package 'margins' ... ** this is package 'margins' version '0.3.28' ** package 'margins' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (margins) * installing *source* package 'ordinal' ... ** this is package 'ordinal' version '2025.12-29' ** package 'ordinal' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get_fitted.c -o get_fitted.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c links.c -o links.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilityFuns.c -o utilityFuns.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ordinal.so get_fitted.o init.o links.o utilityFuns.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ordinal/00new/ordinal/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ordinal) * installing *source* package 'quantreg' ... ** this is package 'quantreg' version '6.1' ** package 'quantreg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c akj.f -o akj.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c boot.f -o boot.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bound.f -o bound.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c boundc.f -o boundc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c brute.f -o brute.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c chlfct.f -o chlfct.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cholesky.f -o cholesky.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c combos.f -o combos.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c crqf.f -o crqf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c crqfnb.f -o crqfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dsel05.f -o dsel05.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c extract.f -o extract.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frand.c -o frand.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c grexp.f -o grexp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c idmin.f -o idmin.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c iswap.f -o iswap.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c kuantile.f -o kuantile.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c kuantiles.f -o kuantiles.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c linpack.f -o linpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mcmb.c -o mcmb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c penalty.f -o penalty.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pfnb.f -o pfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c powell.f -o powell.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c profnb.f -o profnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c pwxy.f -o pwxy.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c qfnb.f -o qfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c qselect.f -o qselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quantreg_init.c -o quantreg_init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rls.f -o rls.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rq0.f -o rq0.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rq1.f -o rq1.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqbr.f -o rqbr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqfn.f -o rqfn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqfnb.f -o rqfnb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqfnc.f -o rqfnc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rqs.f -o rqs.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sakj.f -o sakj.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sparskit2.f -o sparskit2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c srqfn.f -o srqfn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c srqfnc.f -o srqfnc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c srtpai.f -o srtpai.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o quantreg.so akj.o boot.o bound.o boundc.o brute.o chlfct.o cholesky.o combos.o crqf.o crqfnb.o dsel05.o extract.o frand.o grexp.o idmin.o iswap.o kuantile.o kuantiles.o linpack.o mcmb.o penalty.o pfnb.o powell.o profnb.o pwxy.o qfnb.o qselect.o quantreg_init.o rls.o rq0.o rq1.o rqbr.o rqfn.o rqfnb.o rqfnc.o rqs.o sakj.o sparskit2.o srqfn.o srqfnc.o srtpai.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-quantreg/00new/quantreg/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quantreg) * installing *source* package 'quantregForest' ... ** this is package 'quantregForest' version '1.3-7.1' ** package 'quantregForest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c classTree.c -o classTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regTree.c -o regTree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c regrf.c -o regrf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rf.c -o rf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rfsub.f -o rfsub.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rfutils.c -o rfutils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o quantregForest.so classTree.o init.o regTree.o regrf.o rf.o rfsub.o rfutils.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-quantregForest/00new/quantregForest/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quantregForest) * installing *source* package 'robustbase' ... ** this is package 'robustbase' version '0.99-7' ** package 'robustbase' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R-rng4ftn.c -o R-rng4ftn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c eigen.f -o eigen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lmrob.c -o lmrob.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mc.c -o mc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c monitor.c -o monitor.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qn_sn.c -o qn_sn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rf-common.f -o rf-common.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rffastmcd.f -o rffastmcd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rfltsreg.f -o rfltsreg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rllarsbi.f -o rllarsbi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rob-utils.c -o rob-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowMedians.c -o rowMedians.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wgt_himed.c -o wgt_himed.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o robustbase.so R-rng4ftn.o eigen.o init.o lmrob.o mc.o monitor.o qn_sn.o rf-common.o rffastmcd.o rfltsreg.o rllarsbi.o rob-utils.o rowMedians.o wgt_himed.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-robustbase/00new/robustbase/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function from function 'chgDefaults' in package 'robustbase' ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robustbase) * installing *source* package 'sandwich' ... ** this is package 'sandwich' version '3.1-1' ** package 'sandwich' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sandwich) * installing *source* package 'xgboost' ... ** this is package 'xgboost' version '3.2.0.1' ** package 'xgboost' successfully unpacked and MD5 sums checked ** using staged installation configure: Checking if/where backtrace is available checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking for backtrace in -lexecinfo... no checking for backtrace... yes configure: Checking whether fopen64 is available checking for fopen64... yes configure: Endian detection checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes configure: Checking system endianness as USE_LITTLE_ENDIAN is unset checking whether byte ordering is bigendian... no using little endian configure: Checking for prefetch builtin Doesn't have __builtin_prefetch configure: Checking for mm_prefetch Has _mm_prefetch configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h config.status: src/config.h is unchanged ** libs Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_R.cc -o xgboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_custom.cc -o xgboost_custom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/metric.cc -o src/metric/metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/elementwise_metric.cc -o src/metric/elementwise_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/multiclass_metric.cc -o src/metric/multiclass_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/rank_metric.cc -o src/metric/rank_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/auc.cc -o src/metric/auc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/survival_metric.cc -o src/metric/survival_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/objective.cc -o src/objective/objective.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/regression_obj.cc -o src/objective/regression_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/multiclass_obj.cc -o src/objective/multiclass_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/lambdarank_obj.cc -o src/objective/lambdarank_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/hinge.cc -o src/objective/hinge.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/aft_obj.cc -o src/objective/aft_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/adaptive.cc -o src/objective/adaptive.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/init_estimation.cc -o src/objective/init_estimation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/quantile_obj.cc -o src/objective/quantile_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbm.cc -o src/gbm/gbm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree.cc -o src/gbm/gbtree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree_model.cc -o src/gbm/gbtree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear.cc -o src/gbm/gblinear.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear_model.cc -o src/gbm/gblinear_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/adapter.cc -o src/data/adapter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/array_interface.cc -o src/data/array_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/cat_container.cc -o src/data/cat_container.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/simple_dmatrix.cc -o src/data/simple_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/data.cc -o src/data/data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_raw_format.cc -o src/data/sparse_page_raw_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/ellpack_page.cc -o src/data/ellpack_page.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/file_iterator.cc -o src/data/file_iterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index.cc -o src/data/gradient_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_page_source.cc -o src/data/gradient_index_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_format.cc -o src/data/gradient_index_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/metainfo.cc -o src/data/metainfo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_dmatrix.cc -o src/data/sparse_page_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_source.cc -o src/data/sparse_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/extmem_quantile_dmatrix.cc -o src/data/extmem_quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/quantile_dmatrix.cc -o src/data/quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/batch_utils.cc -o src/data/batch_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/proxy_dmatrix.cc -o src/data/proxy_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/iterative_dmatrix.cc -o src/data/iterative_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/predictor.cc -o src/predictor/predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/cpu_predictor.cc -o src/predictor/cpu_predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/treeshap.cc -o src/predictor/treeshap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/constraints.cc -o src/tree/constraints.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/param.cc -o src/tree/param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/fit_stump.cc -o src/tree/fit_stump.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_model.cc -o src/tree/tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_view.cc -o src/tree/tree_view.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_updater.cc -o src/tree/tree_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/multi_target_tree_model.cc -o src/tree/multi_target_tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_approx.cc -o src/tree/updater_approx.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_colmaker.cc -o src/tree/updater_colmaker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_prune.cc -o src/tree/updater_prune.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_quantile_hist.cc -o src/tree/updater_quantile_hist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_refresh.cc -o src/tree/updater_refresh.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_sync.cc -o src/tree/updater_sync.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/hist_param.cc -o src/tree/hist/hist_param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/histogram.cc -o src/tree/hist/histogram.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/sampler.cc -o src/tree/hist/sampler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/linear_updater.cc -o src/linear/linear_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_coordinate.cc -o src/linear/updater_coordinate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_shotgun.cc -o src/linear/updater_shotgun.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/learner.cc -o src/learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/context.cc -o src/context.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/logging.cc -o src/logging.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/global_config.cc -o src/global_config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/result.cc -o src/collective/result.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allgather.cc -o src/collective/allgather.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allreduce.cc -o src/collective/allreduce.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/broadcast.cc -o src/collective/broadcast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm.cc -o src/collective/comm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm_group.cc -o src/collective/comm_group.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/coll.cc -o src/collective/coll.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/tracker.cc -o src/collective/tracker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/in_memory_handler.cc -o src/collective/in_memory_handler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/loop.cc -o src/collective/loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/socket.cc -o src/collective/socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/cache_manager.cc -o src/common/cache_manager.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/charconv.cc -o src/common/charconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/column_matrix.cc -o src/common/column_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/common.cc -o src/common/common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/cuda_rt_utils.cc -o src/common/cuda_rt_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/error_msg.cc -o src/common/error_msg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/hist_util.cc -o src/common/hist_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/host_device_vector.cc -o src/common/host_device_vector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/io.cc -o src/common/io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/json.cc -o src/common/json.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/linalg_op.cc -o src/common/linalg_op.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/numeric.cc -o src/common/numeric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/optional_weight.cc -o src/common/optional_weight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/pseudo_huber.cc -o src/common/pseudo_huber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile.cc -o src/common/quantile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/random.cc -o src/common/random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/stats.cc -o src/common/stats.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/survival_util.cc -o src/common/survival_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/threading_utils.cc -o src/common/threading_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/ranking_utils.cc -o src/common/ranking_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/param_array.cc -o src/common/param_array.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile_loss_utils.cc -o src/common/quantile_loss_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/timer.cc -o src/common/timer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/version.cc -o src/common/version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api.cc -o src/c_api/c_api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api_error.cc -o src/c_api/c_api_error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c amalgamation/dmlc-minimum0.cc -o amalgamation/dmlc-minimum0.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xgboost.so ./xgboost_R.o ./xgboost_custom.o ./init.o ./src/metric/metric.o ./src/metric/elementwise_metric.o ./src/metric/multiclass_metric.o ./src/metric/rank_metric.o ./src/metric/auc.o ./src/metric/survival_metric.o ./src/objective/objective.o ./src/objective/regression_obj.o ./src/objective/multiclass_obj.o ./src/objective/lambdarank_obj.o ./src/objective/hinge.o ./src/objective/aft_obj.o ./src/objective/adaptive.o ./src/objective/init_estimation.o ./src/objective/quantile_obj.o ./src/gbm/gbm.o ./src/gbm/gbtree.o ./src/gbm/gbtree_model.o ./src/gbm/gblinear.o ./src/gbm/gblinear_model.o ./src/data/adapter.o ./src/data/array_interface.o ./src/data/cat_container.o ./src/data/simple_dmatrix.o ./src/data/data.o ./src/data/sparse_page_raw_format.o ./src/data/ellpack_page.o ./src/data/file_iterator.o ./src/data/gradient_index.o ./src/data/gradient_index_page_source.o ./src/data/gradient_index_format.o ./src/data/metainfo.o ./src/data/sparse_page_dmatrix.o ./src/data/sparse_page_source.o ./src/data/extmem_quantile_dmatrix.o ./src/data/quantile_dmatrix.o ./src/data/batch_utils.o ./src/data/proxy_dmatrix.o ./src/data/iterative_dmatrix.o ./src/predictor/predictor.o ./src/predictor/cpu_predictor.o ./src/predictor/treeshap.o ./src/tree/constraints.o ./src/tree/param.o ./src/tree/fit_stump.o ./src/tree/tree_model.o ./src/tree/tree_view.o ./src/tree/tree_updater.o ./src/tree/multi_target_tree_model.o ./src/tree/updater_approx.o ./src/tree/updater_colmaker.o ./src/tree/updater_prune.o ./src/tree/updater_quantile_hist.o ./src/tree/updater_refresh.o ./src/tree/updater_sync.o ./src/tree/hist/hist_param.o ./src/tree/hist/histogram.o ./src/tree/hist/sampler.o ./src/linear/linear_updater.o ./src/linear/updater_coordinate.o ./src/linear/updater_shotgun.o ./src/learner.o ./src/context.o ./src/logging.o ./src/global_config.o ./src/collective/result.o ./src/collective/allgather.o ./src/collective/allreduce.o ./src/collective/broadcast.o ./src/collective/comm.o ./src/collective/comm_group.o ./src/collective/coll.o ./src/collective/tracker.o ./src/collective/in_memory_handler.o ./src/collective/loop.o ./src/collective/socket.o ./src/common/cache_manager.o ./src/common/charconv.o ./src/common/column_matrix.o ./src/common/common.o ./src/common/cuda_rt_utils.o ./src/common/error_msg.o ./src/common/hist_util.o ./src/common/host_device_vector.o ./src/common/io.o ./src/common/json.o ./src/common/linalg_op.o ./src/common/numeric.o ./src/common/optional_weight.o ./src/common/pseudo_huber.o ./src/common/quantile.o ./src/common/random.o ./src/common/stats.o ./src/common/survival_util.o ./src/common/threading_utils.o ./src/common/ranking_utils.o ./src/common/param_array.o ./src/common/quantile_loss_utils.o ./src/common/timer.o ./src/common/version.o ./src/c_api/c_api.o ./src/c_api/c_api_error.o ./amalgamation/dmlc-minimum0.o -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread installing to /tmp/th798/27261227/R-release/841/library/00LOCK-xgboost/00new/xgboost/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xgboost) * installing *source* package 'crosstalk' ... ** this is package 'crosstalk' version '1.2.2' ** package 'crosstalk' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crosstalk) * installing *source* package 'promises' ... ** this is package 'promises' version '1.5.0' ** package 'promises' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (promises) * installing *source* package 'gld' ... ** this is package 'gld' version '2.6.8' ** package 'gld' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fit_fkml.c -o fit_fkml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.fm5.fx.c -o gld.fm5.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.fmkl.fx.c -o gld.fmkl.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.rs.fx.c -o gld.rs.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld.vsk.fx.c -o gld.vsk.fx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gld_init.c -o gld_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gld.so fit_fkml.o gld.fm5.fx.o gld.fmkl.fx.o gld.rs.fx.o gld.vsk.fx.o gld_init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-gld/00new/gld/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gld) * installing *source* package 'waldo' ... ** this is package 'waldo' version '0.6.2' ** package 'waldo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (waldo) * installing *source* package 'fpc' ... ** this is package 'fpc' version '2.2-14' ** package 'fpc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fpc) * installing *source* package 'stabm' ... ** this is package 'stabm' version '1.2.2' ** package 'stabm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stabm) * installing *source* package 'sass' ... ** this is package 'sass' version '0.4.10' ** package 'sass' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./libsass/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compile.c -o compile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./libsass/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o MAKEFLAGS= CC="/packages/gcc/12.2.0-nnbserq/bin/gcc" CFLAGS="-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include " CXX="/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17" AR="ar" LDFLAGS="-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64" make -C libsass make[1]: Entering directory '/tmp/th798/27261227/RtmpZsoEDA/R.INSTALL2d92723f64b6de/sass/src/libsass' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -I ./include -fPIC -c -o src/cencode.o src/cencode.c /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast.o src/ast.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_values.o src/ast_values.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_supports.o src/ast_supports.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_cmp.o src/ast_sel_cmp.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_unify.o src/ast_sel_unify.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_super.o src/ast_sel_super.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_weave.o src/ast_sel_weave.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_selectors.o src/ast_selectors.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/context.o src/context.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/constants.o src/constants.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_utils.o src/fn_utils.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_miscs.o src/fn_miscs.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_maps.o src/fn_maps.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_lists.o src/fn_lists.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_colors.o src/fn_colors.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_numbers.o src/fn_numbers.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_strings.o src/fn_strings.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_selectors.o src/fn_selectors.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/color_maps.o src/color_maps.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/environment.o src/environment.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_fwd_decl.o src/ast_fwd_decl.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/bind.o src/bind.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/file.o src/file.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/util.o src/util.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/util_string.o src/util_string.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/json.o src/json.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/units.o src/units.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/values.o src/values.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/plugins.o src/plugins.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/source.o src/source.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/position.o src/position.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/lexer.o src/lexer.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/parser.o src/parser.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/parser_selectors.o src/parser_selectors.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/prelexer.o src/prelexer.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/eval.o src/eval.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/eval_selectors.o src/eval_selectors.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/expand.o src/expand.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/listize.o src/listize.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/cssize.o src/cssize.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/extender.o src/extender.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/extension.o src/extension.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/stylesheet.o src/stylesheet.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/output.o src/output.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/inspect.o src/inspect.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/emitter.o src/emitter.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/check_nesting.o src/check_nesting.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/remove_placeholders.o src/remove_placeholders.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass.o src/sass.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_values.o src/sass_values.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_context.o src/sass_context.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_functions.o src/sass_functions.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/sass2scss.o src/sass2scss.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/backtrace.o src/backtrace.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/operators.o src/operators.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/ast2c.o src/ast2c.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/c2ast.o src/c2ast.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/to_value.o src/to_value.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/source_map.o src/source_map.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/error_handling.o src/error_handling.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/memory/allocator.o src/memory/allocator.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/memory/shared_ptr.o src/memory/shared_ptr.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/utf8_string.o src/utf8_string.cpp /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -O2 -std=c++11 -I ./include -fPIC -c -o src/base64vlq.o src/base64vlq.cpp mkdir lib ar rcvs lib/libsass.a src/cencode.o src/ast.o src/ast_values.o src/ast_supports.o src/ast_sel_cmp.o src/ast_sel_unify.o src/ast_sel_super.o src/ast_sel_weave.o src/ast_selectors.o src/context.o src/constants.o src/fn_utils.o src/fn_miscs.o src/fn_maps.o src/fn_lists.o src/fn_colors.o src/fn_numbers.o src/fn_strings.o src/fn_selectors.o src/color_maps.o src/environment.o src/ast_fwd_decl.o src/bind.o src/file.o src/util.o src/util_string.o src/json.o src/units.o src/values.o src/plugins.o src/source.o src/position.o src/lexer.o src/parser.o src/parser_selectors.o src/prelexer.o src/eval.o src/eval_selectors.o src/expand.o src/listize.o src/cssize.o src/extender.o src/extension.o src/stylesheet.o src/output.o src/inspect.o src/emitter.o src/check_nesting.o src/remove_placeholders.o src/sass.o src/sass_values.o src/sass_context.o src/sass_functions.o src/sass2scss.o src/backtrace.o src/operators.o src/ast2c.o src/c2ast.o src/to_value.o src/source_map.o src/error_handling.o src/memory/allocator.o src/memory/shared_ptr.o src/utf8_string.o src/base64vlq.o a - src/cencode.o a - src/ast.o a - src/ast_values.o a - src/ast_supports.o a - src/ast_sel_cmp.o a - src/ast_sel_unify.o a - src/ast_sel_super.o a - src/ast_sel_weave.o a - src/ast_selectors.o a - src/context.o a - src/constants.o a - src/fn_utils.o a - src/fn_miscs.o a - src/fn_maps.o a - src/fn_lists.o a - src/fn_colors.o a - src/fn_numbers.o a - src/fn_strings.o a - src/fn_selectors.o a - src/color_maps.o a - src/environment.o a - src/ast_fwd_decl.o a - src/bind.o a - src/file.o a - src/util.o a - src/util_string.o a - src/json.o a - src/units.o a - src/values.o a - src/plugins.o a - src/source.o a - src/position.o a - src/lexer.o a - src/parser.o a - src/parser_selectors.o a - src/prelexer.o a - src/eval.o a - src/eval_selectors.o a - src/expand.o a - src/listize.o a - src/cssize.o a - src/extender.o a - src/extension.o a - src/stylesheet.o a - src/output.o a - src/inspect.o a - src/emitter.o a - src/check_nesting.o a - src/remove_placeholders.o a - src/sass.o a - src/sass_values.o a - src/sass_context.o a - src/sass_functions.o a - src/sass2scss.o a - src/backtrace.o a - src/operators.o a - src/ast2c.o a - src/c2ast.o a - src/to_value.o a - src/source_map.o a - src/error_handling.o a - src/memory/allocator.o a - src/memory/shared_ptr.o a - src/utf8_string.o a - src/base64vlq.o make[1]: Leaving directory '/tmp/th798/27261227/RtmpZsoEDA/R.INSTALL2d92723f64b6de/sass/src/libsass' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sass.so compile.o init.o ./libsass/lib/libsass.a rm -f libsass/lib/libsass.a installing to /tmp/th798/27261227/R-release/841/library/00LOCK-sass/00new/sass/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sass) * installing *source* package 'GPfit' ... ** this is package 'GPfit' version '1.0-9' ** package 'GPfit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GPfit) * installing *source* package 'markdown' ... ** this is package 'markdown' version '2.0' ** package 'markdown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (markdown) * installing *source* package 'reformulas' ... ** this is package 'reformulas' version '0.4.4' ** package 'reformulas' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reformulas) * installing *source* package 'vctrs' ... ** this is package 'vctrs' version '0.7.1' ** package 'vctrs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-lazy-character.c -o altrep-lazy-character.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-rle.c -o altrep-rle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep.c -o altrep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arg-counter.c -o arg-counter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arg.c -o arg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assert.c -o assert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bind.c -o bind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c.c -o c.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callables.c -o callables.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c case-when.c -o case-when.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cast-bare.c -o cast-bare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cast-dispatch.c -o cast-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cast.c -o cast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compare.c -o compare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c complete.c -o complete.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c conditions.c -o conditions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dictionary.c -o dictionary.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dim.c -o dim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c empty.c -o empty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c equal.c -o equal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c expand.c -o expand.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fields.c -o fields.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fill.c -o fill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c globals.c -o globals.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group.c -o group.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c growable.c -o growable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c if-else.c -o if-else.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c interval.c -o interval.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c list-combine.c -o list-combine.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c list-unchop.c -o list-unchop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match-joint.c -o match-joint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match.c -o match.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c missing.c -o missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c names.c -o names.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order-collate.c -o order-collate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order-groups.c -o order-groups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order-sortedness.c -o order-sortedness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c order.c -o order.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parallel.c -o parallel.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c poly-op.c -o poly-op.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c proxy-restore.c -o proxy-restore.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c proxy.c -o proxy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype-common.c -o ptype-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype.c -o ptype.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype2-dispatch.c -o ptype2-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ptype2.c -o ptype2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rank.c -o rank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c recode.c -o recode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rep.c -o rep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang-dev.c -o rlang-dev.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runs.c -o runs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c set.c -o set.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shape.c -o shape.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c size-common.c -o size-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c size.c -o size.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-array.c -o slice-array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-assign-array.c -o slice-assign-array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-assign.c -o slice-assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-chop.c -o slice-chop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice-interleave.c -o slice-interleave.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice.c -o slice.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c split.c -o split.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subscript-loc.c -o subscript-loc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subscript.c -o subscript.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c translate.c -o translate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-data-frame.c -o type-data-frame.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-date-time.c -o type-date-time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-factor.c -o type-factor.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-info.c -o type-info.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-integer64.c -o type-integer64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type-tibble.c -o type-tibble.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c typeof2-s3.c -o typeof2-s3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c typeof2.c -o typeof2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unspecified.c -o unspecified.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils-dispatch.c -o utils-dispatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o vctrs.so altrep-lazy-character.o altrep-rle.o altrep.o arg-counter.o arg.o assert.o bind.o c.o callables.o case-when.o cast-bare.o cast-dispatch.o cast.o compare.o complete.o conditions.o dictionary.o dim.o empty.o equal.o expand.o fields.o fill.o globals.o group.o growable.o hash.o if-else.o init.o interval.o list-combine.o list-unchop.o match-joint.o match.o missing.o names.o order-collate.o order-groups.o order-sortedness.o order.o parallel.o poly-op.o proxy-restore.o proxy.o ptype-common.o ptype.o ptype2-dispatch.o ptype2.o rank.o recode.o rep.o rlang-dev.o rlang.o runs.o set.o shape.o size-common.o size.o slice-array.o slice-assign-array.o slice-assign.o slice-chop.o slice-interleave.o slice.o split.o subscript-loc.o subscript.o translate.o type-data-frame.o type-date-time.o type-factor.o type-info.o type-integer64.o type-tibble.o typeof2-s3.o typeof2.o unspecified.o utils-dispatch.o utils.o version.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-vctrs/00new/vctrs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vctrs) * installing *source* package 'scales' ... ** this is package 'scales' version '1.4.0' ** package 'scales' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scales) * installing *source* package 'chk' ... ** this is package 'chk' version '0.10.0' ** package 'chk' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (chk) * installing *source* package 'gtable' ... ** this is package 'gtable' version '0.3.6' ** package 'gtable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gtable) * installing *source* package 'memoise' ... ** this is package 'memoise' version '2.0.1' ** package 'memoise' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (memoise) * installing *source* package 'maxLik' ... ** this is package 'maxLik' version '1.5-2.2' ** package 'maxLik' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (maxLik) * installing *source* package 'dreamerr' ... ** this is package 'dreamerr' version '1.5.0' ** package 'dreamerr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dreamerr) * installing *source* package 'TMB' ... ** this is package 'TMB' version '1.9.19' ** package 'TMB' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c external_metis.c -o external_metis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c local_stubs.c -o local_stubs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c solve_subset.c -o solve_subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o TMB.so external_metis.o init.o local_stubs.o solve_subset.o utils.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location Building example simple Note: Using Makevars in /home/th798/.R/Makevars using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"/tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include" -I"/tmp/th798/27261227/R-release/841/library/RcppEigen/include" -DTMB_SAFEBOUNDS -DLIB_UNLOAD=R_unload_simple -DTMB_LIB_INIT=R_init_simple -DCPPAD_FRAMEWORK -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c simple.cpp -o simple.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/TMB.hpp:92, from simple.cpp:2: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:17:8: required from 'struct tmbutils::vector' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:58:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:17:8: required from 'struct tmbutils::vector' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:58:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:101:8: required from 'struct tmbutils::matrix' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:459:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:554:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:14: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/TMB.hpp:96: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' simple.cpp:26:29: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/start_parallel.hpp:240:37: required from 'VectorBase parallelADFun::Reverse(size_t, const VectorBase&) [with VectorBase = Eigen::Matrix; Type = double; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2692:28: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:30:21: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:30:27: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:31:47: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:18:23: required from 'atomic::Block atomic::Block::scale(Type) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:242:29: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:25:29: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:36: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:55: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:26: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:84: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:71: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase > >::CastXpr' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:114:35: required from 'tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1187:38: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convert.hpp:122:29: required from 'tmbutils::matrix asMatrix(const tmbutils::vector&, int, int) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1202:5: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convenience.hpp:49:23: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' simple.cpp:26:22: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::MatrixWrapper >, 0>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convenience.hpp:49:13: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' simple.cpp:26:22: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/convenience.hpp:49:32: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' simple.cpp:26:22: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:39: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:45: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:31: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1218:14: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/array.hpp:22:8: required from 'struct tmbutils::array' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:602:29: required from 'void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:610:9: required from 'void report_stack::push(Type, const char*) [with Type = double]' simple.cpp:37:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:603:56: required from 'void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:610:9: required from 'void report_stack::push(Type, const char*) [with Type = double]' simple.cpp:37:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:24:20: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:18: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' simple.cpp:17:50: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from 'Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:18: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Array; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1222:18: required from 'SEXPREC* EvalADFunObjectTemplate(SEXP, SEXP, SEXP) [with ADFunType = CppAD::ADFun; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:1873:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from 'Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' simple.cpp:8:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from 'void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from 'void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from 'Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/atomic_math.hpp:446:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/00LOCK-TMB/00new/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o simple.so simple.o Build time 24.187 seconds ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TMB) * installing *source* package 'Rfast' ... ** this is package 'Rfast' version '2.1.5.2' ** package 'Rfast' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Coeff.cpp -o Coeff.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Diag.cpp -o Diag.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Norm.cpp -o Norm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rank.cpp -o Rank.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Sort.cpp -o Sort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Table.cpp -o Table.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c add_to_namespace.cpp -o add_to_namespace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c apply_condition.cpp -o apply_condition.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c as_integer.cpp -o as_integer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binarysearch.cpp -o binarysearch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bincomb.cpp -o bincomb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c check.cpp -o check.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cholesky.cpp -o cholesky.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c col_row_utilities.cpp -o col_row_utilities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c col_row_utilities_p.cpp -o col_row_utilities_p.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c col_statistical.cpp -o col_statistical.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colrint_mle.cpp -o colrint_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c colweibull_mle.cpp -o colweibull_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cts.cpp -o cts.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cts_rf.cpp -o cts_rf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c design_matrix.cpp -o design_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dir_knn.cpp -o dir_knn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diri_nr_type2.cpp -o diri_nr_type2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dista.cpp -o dista.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dists.cpp -o dists.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c each.cpp -o each.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c eigs_sym_c.cpp -o eigs_sym_c.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c energy.cpp -o energy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c floyd_john.cpp -o floyd_john.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frame_to_matrix.cpp -o frame_to_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c g2_export.cpp -o g2_export.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c g2_helpers.cpp -o g2_helpers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c g2t.cpp -o g2t.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gamma.cpp -o gamma.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gaussian_nb.cpp -o gaussian_nb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c geom_regs.cpp -o geom_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glm.cpp -o glm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group.cpp -o group.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.cpp -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is.cpp -o is.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c k_nn.cpp -o k_nn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logistic_only.cpp -o logistic_only.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lower_upper_tri.cpp -o lower_upper_tri.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c maha.cpp -o maha.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c maha_ex.cpp -o maha_ex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matrices.cpp -o matrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mn.cpp -o mn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multinom_regs.cpp -o multinom_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c my_k_sorted_array.cpp -o my_k_sorted_array.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c normlog_reg.cpp -o normlog_reg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c normlog_regs.cpp -o normlog_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c odds_helper.cpp -o odds_helper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pc_skel.cpp -o pc_skel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c permutation.cpp -o permutation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c positive_negative.cpp -o positive_negative.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prop.cpp -o prop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c qpois.cpp -o qpois.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbing.cpp -o rbing.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.cpp -o read.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reg_lib.cpp -o reg_lib.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rep.cpp -o rep.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rint.cpp -o rint.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmdp.cpp -o rmdp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rvmf.cpp -o rvmf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sf.cpp -o sf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sort_unique.cpp -o sort_unique.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c spat_med.cpp -o spat_med.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c spml.cpp -o spml.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sw_regs.cpp -o sw_regs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c system_files.cpp -o system_files.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c topological_sort.cpp -o topological_sort.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilities.cpp -o utilities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c varcomps_mle.cpp -o varcomps_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecdist.cpp -o vecdist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weib_reg.cpp -o weib_reg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I'/tmp/th798/27261227/R-release/841/library/zigg/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weibull_mle.cpp -o weibull_mle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Rfast.so Coeff.o Diag.o Norm.o Rank.o Sort.o Table.o add_to_namespace.o apply_condition.o as_integer.o binarysearch.o bincomb.o check.o cholesky.o col_row_utilities.o col_row_utilities_p.o col_statistical.o colrint_mle.o colweibull_mle.o cts.o cts_rf.o design_matrix.o dir_knn.o diri_nr_type2.o dista.o dists.o each.o eigs_sym_c.o energy.o floyd_john.o frame_to_matrix.o g2_export.o g2_helpers.o g2t.o gamma.o gaussian_nb.o geom_regs.o glm.o group.o hash.o init.o is.o k_nn.o logistic_only.o lower_upper_tri.o maha.o maha_ex.o matrices.o mn.o multinom_regs.o my_k_sorted_array.o normlog_reg.o normlog_regs.o odds_helper.o pc_skel.o permutation.o positive_negative.o prop.o qpois.o rbing.o read.o reg_lib.o rep.o rint.o rmdp.o rvmf.o sf.o sort_unique.o spat_med.o spml.o sw_regs.o system_files.o topological_sort.o utilities.o varcomps_mle.o vecdist.o weib_reg.o weibull_mle.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-Rfast/00new/Rfast/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rfast) * installing *source* package 'nonnest2' ... ** this is package 'nonnest2' version '0.5-8' ** package 'nonnest2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nonnest2) * installing *source* package 'ranger' ... ** this is package 'ranger' version '0.18.0' ** package 'ranger' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AAA_check_cpp14.cpp -o AAA_check_cpp14.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Data.cpp -o Data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DataSparse.cpp -o DataSparse.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Forest.cpp -o Forest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestClassification.cpp -o ForestClassification.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestProbability.cpp -o ForestProbability.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestRegression.cpp -o ForestRegression.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestSurvival.cpp -o ForestSurvival.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:387:24: required from 'Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/as.h:88:32: required from 'T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/as.h:151:31: required from 'T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:46:54: required from 'Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' RcppExports.cpp:59:94: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Tree.cpp -o Tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeClassification.cpp -o TreeClassification.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeProbability.cpp -o TreeProbability.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeRegression.cpp -o TreeRegression.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeSurvival.cpp -o TreeSurvival.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rangerCpp.cpp -o rangerCpp.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utility.cpp -o utility.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilityRcpp.cpp -o utilityRcpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ranger.so AAA_check_cpp14.o Data.o DataSparse.o Forest.o ForestClassification.o ForestProbability.o ForestRegression.o ForestSurvival.o RcppExports.o Tree.o TreeClassification.o TreeProbability.o TreeRegression.o TreeSurvival.o rangerCpp.o utility.o utilityRcpp.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ranger/00new/ranger/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ranger) * installing *source* package 'glmnet' ... ** this is package 'glmnet' version '4.1-10' ** package 'glmnet' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' RcppExports.cpp:47:170: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' RcppExports.cpp:47:170: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:59:98: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c coxnet5dpclean.f -o coxnet5dpclean.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c elnet_exp.cpp -o elnet_exp.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' elnet_exp.cpp:44:5: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' elnet_exp.cpp:98:5: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:27: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:30: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:33: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/base.hpp:12:36: required from 'void glmnetpp::ElnetDriverBase::normalize_penalty(VType&&) const [with VType = Eigen::Matrix&]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:402:36: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:34: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:42: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:36: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:33: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:42: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:52:26: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:56: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:41: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:48: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:35: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:430:16: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:31: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:29: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:55: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:44: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:53: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:276:41: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:48: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:57: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:399:49: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator >, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from 'static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:343:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from 'auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:344:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from 'auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:96:31: required from 'struct glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:159:16: required from 'auto glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from 'static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:296:29: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:176:22: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:34: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:45: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:29: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:36: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:31: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:52: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:16: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:28: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:34: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:27: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from 'Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:47: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:50: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:82:44: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:88:40: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:86:50: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:58: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:41: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:86: required from 'auto glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::prediction() const [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_base.hpp:140:40: required from 'void glmnetpp::ElnetPathPoissonBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:22: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:38: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:29: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:41: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:47: required from 'static typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::compute_xv(const XType&, const WType&) [with XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:71:52: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:336:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:22: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:31: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:37: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:23: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:35: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:54: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:47: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:27: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:50: required from 'void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:59: required from 'void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:55: required from 'typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:73:51: required from 'glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, ISType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Matrix; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ISType = Eigen::Matrix; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1402:44: required from 'typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:76:62: required from 'glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:68: required from 'typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_grad(typename base_t::index_t, const RType&, const VType&) const [with RType = Eigen::Matrix; VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:77:64: required from 'glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:130:48: required from 'typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:163:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:136:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:139:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:137:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:168:65: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:66: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:78: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:84: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:169:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from 'static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:46: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from 'static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(typename base_t::index_t, RType&&) [with RType = Eigen::Block, -1, 1, true>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1166:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:589:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:39: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:45: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:54: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:661:34: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:65: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:47: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:48: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:51: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:79: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:605:60: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:55: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:37: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:37: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:44: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:26: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:39: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:57: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:47: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:77: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:83: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:53: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:79: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:85: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:113:48: required from 'glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:43 = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1381:42: required from 'void glmnetpp::SpElnetPointInternalBinomialBase::update_with_new_weights(typename base_t::index_t, const VType&, typename base_t::index_t, typename base_t::value_t, typename base_t::value_t&) [with VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:121:55: required from 'void glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:137:50: required from 'glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:50 = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:101:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&):::: [with auto:65 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; SkipPolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:100:51: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:38: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:37: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:40: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:55: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: required from 'typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:68:81: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:643:34: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:645:81: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:648:53: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:49: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:51: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:59: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:84:33: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:39:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, 1, -1, false>, 1, -1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:51: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:531:48: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&, typename base_t::value_t) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:546:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:155:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:156:37: required from 'void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, DestType&&) const [with DestType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:162:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:55: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:85: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from 'typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:38: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:88:35: required from 'static auto glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::compute_sp_cov(const X1Type&, const X2Type&, const WType&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:65:42: required from 'void glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::update_active(typename base_t::index_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:81:44: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:101:57: required from 'void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:45: required from 'void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:72: required from 'void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:127:53: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:82:43: required from 'void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:140:39: required from 'void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:55: required from 'void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:142:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:322:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:405:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:89:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1208:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:219:37: required from 'static constexpr bool glmnetpp::ElnetPointInternalStaticBase::equal(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T1 = Eigen::Matrix; T2 = Eigen::Transpose, 1, -1, false> >; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:75:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:80:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:91:43: required from 'void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/binomial_multi_class_group.hpp:34:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:138:39: required from 'void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:570:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:92: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from 'typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1024>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int ProductType = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_cov.hpp:55:65: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Transpose, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:703:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:66: required from 'void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glmnet_init.cpp -o glmnet_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.cpp -o internal.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pb.c -o pb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pb_exp.cpp -o pb_exp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wls_exp.cpp -o wls_exp.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' wls_exp.cpp:40:5: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from 'struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:52:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from 'struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:52:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' wls_exp.cpp:113:5: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32: required from 'struct glmnetpp::SpElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >' glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8: required from 'struct glmnetpp::SpElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:125:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from 'static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from 'void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from 'void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from 'static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from 'Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from 'Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:689:62: required from 'const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType::Type Eigen::SparseMatrixBase::cwiseProduct(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType::Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glmnet.so RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-glmnet/00new/glmnet/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmnet) * installing *source* package 'mlr3misc' ... ** this is package 'mlr3misc' version '0.21.0' ** package 'mlr3misc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c count_missing.c -o count_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keep_in_bounds.c -o keep_in_bounds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_decimal.c -o to_decimal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c which_max.c -o which_max.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3misc.so count_missing.o init.o keep_in_bounds.o to_decimal.o which_max.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mlr3misc/00new/mlr3misc/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3misc) * installing *source* package 'mvnfast' ... ** this is package 'mvnfast' version '0.2.8' ** package 'mvnfast' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmixtCpp.cpp -o dmixtCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dmvtCpp.cpp -o dmvtCpp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mahaCpp.cpp -o mahaCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c msCpp.cpp -o msCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmixnCpp.cpp -o rmixnCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmixtCpp.cpp -o rmixtCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmvnCpp.cpp -o rmvnCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rmvtCpp.cpp -o rmvtCpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mvnfast.so dmixtCpp.o dmvtCpp.o init.o mahaCpp.o msCpp.o rmixnCpp.o rmixtCpp.o rmvnCpp.o rmvtCpp.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mvnfast/00new/mvnfast/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvnfast) * installing *source* package 'inum' ... ** this is package 'inum' version '1.0-5' ** package 'inum' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (inum) * installing *source* package 'callr' ... ** this is package 'callr' version '3.7.6' ** package 'callr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading R6Class r_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class r_session: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rcmd_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rscript_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (callr) * installing *source* package 'fontawesome' ... ** this is package 'fontawesome' version '0.5.3' ** package 'fontawesome' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fontawesome) * installing *source* package 'openssl' ... ** this is package 'openssl' version '2.3.5' ** package 'openssl' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -l:libssl.so.1.1 -l:libcrypto.so.1.1 ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' rm -f aes.o base64.o bignum.o cert.o compatibility.o diffie.o envelope.o error.o hash.o info.o keygen.o keys.o onload.o openssh.o password.o pbkdf.o pem.o pkcs12.o pkcs7.o rand.o rsa.o signing.o ssl.o stream.o write.o x25519.o openssl.so bcrypt/libstatbcrypt.a bcrypt/bcrypt_pbkdf.o bcrypt/blowfish.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aes.c -o aes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bignum.c -o bignum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cert.c -o cert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compatibility.c -o compatibility.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diffie.c -o diffie.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c envelope.c -o envelope.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error.c -o error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c info.c -o info.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keygen.c -o keygen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keys.c -o keys.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c onload.c -o onload.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openssh.c -o openssh.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c password.c -o password.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pbkdf.c -o pbkdf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pem.c -o pem.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkcs12.c -o pkcs12.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkcs7.c -o pkcs7.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rand.c -o rand.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rsa.c -o rsa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c signing.c -o signing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ssl.c -o ssl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stream.c -o stream.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.c -o write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c x25519.c -o x25519.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bcrypt/bcrypt_pbkdf.c -o bcrypt/bcrypt_pbkdf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -DSTRICT_R_HEADERS -DR_NO_REMAP -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bcrypt/blowfish.c -o bcrypt/blowfish.o ar rcs bcrypt/libstatbcrypt.a bcrypt/bcrypt_pbkdf.o bcrypt/blowfish.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o openssl.so aes.o base64.o bignum.o cert.o compatibility.o diffie.o envelope.o error.o hash.o info.o keygen.o keys.o onload.o openssh.o password.o pbkdf.o pem.o pkcs12.o pkcs7.o rand.o rsa.o signing.o ssl.o stream.o write.o x25519.o -Lbcrypt -lstatbcrypt -L/home/th798/.conda/envs/emacs1/lib -l:libssl.so.1.1 -l:libcrypto.so.1.1 installing to /tmp/th798/27261227/R-release/841/library/00LOCK-openssl/00new/openssl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (openssl) * installing *source* package 'xopen' ... ** this is package 'xopen' version '1.0.1' ** package 'xopen' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xopen) * installing *source* package 'jquerylib' ... ** this is package 'jquerylib' version '0.1.4' ** package 'jquerylib' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jquerylib) * installing *source* package 'rrcov' ... ** this is package 'rrcov' version '1.7-7' ** package 'rrcov' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c R-rng4ftn.c -o R-rng4ftn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c covOPW.c -o covOPW.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ds11.f -o ds11.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fast-mve.c -o fast-mve.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c fsada.f -o fsada.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rrcov_init.c -o rrcov_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sest.c -o sest.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rrcov.so R-rng4ftn.o covOPW.o ds11.o fast-mve.o fsada.o rrcov_init.o sest.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rrcov/00new/rrcov/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rrcov) * installing *source* package 'StanHeaders' ... ** this is package 'StanHeaders' version '2.32.10' ** package 'StanHeaders' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_io.c -o cvodes/cvodes_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls.c -o cvodes/cvodes_nls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_diag.c -o cvodes/cvodes_diag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodea.c -o cvodes/cvodea.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_direct.c -o cvodes/cvodes_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodea_io.c -o cvodes/cvodea_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls_stg.c -o cvodes/cvodes_nls_stg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_bbdpre.c -o cvodes/cvodes_bbdpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_bandpre.c -o cvodes/cvodes_bandpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes.c -o cvodes/cvodes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_spils.c -o cvodes/cvodes_spils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_ls.c -o cvodes/cvodes_ls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls_sim.c -o cvodes/cvodes_nls_sim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cvodes/cvodes_nls_stg1.c -o cvodes/cvodes_nls_stg1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_matrix.c -o sundials/sundials_matrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_futils.c -o sundials/sundials_futils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_direct.c -o sundials/sundials_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_nonlinearsolver.c -o sundials/sundials_nonlinearsolver.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_version.c -o sundials/sundials_version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_band.c -o sundials/sundials_band.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_profiler.c -o sundials/sundials_profiler.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_linearsolver.c -o sundials/sundials_linearsolver.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_math.c -o sundials/sundials_math.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_memory.c -o sundials/sundials_memory.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_context.c -o sundials/sundials_context.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_nvector.c -o sundials/sundials_nvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_iterative.c -o sundials/sundials_iterative.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_nvector_senswrapper.c -o sundials/sundials_nvector_senswrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sundials/sundials_dense.c -o sundials/sundials_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunmatrix/band/sunmatrix_band.c -o sunmatrix/band/sunmatrix_band.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunmatrix/dense/sunmatrix_dense.c -o sunmatrix/dense/sunmatrix_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunlinsol/band/sunlinsol_band.c -o sunlinsol/band/sunlinsol_band.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunlinsol/dense/sunlinsol_dense.c -o sunlinsol/dense/sunlinsol_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunnonlinsol/newton/sunnonlinsol_newton.c -o sunnonlinsol/newton/sunnonlinsol_newton.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.c -o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_spils.c -o idas/idas_spils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_ic.c -o idas/idas_ic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idaa.c -o idas/idaa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_direct.c -o idas/idas_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idaa_io.c -o idas/idaa_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_nls_stg.c -o idas/idas_nls_stg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_bbdpre.c -o idas/idas_bbdpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_io.c -o idas/idas_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas.c -o idas/idas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_ls.c -o idas/idas_ls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_nls.c -o idas/idas_nls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idas/idas_nls_sim.c -o idas/idas_nls_sim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_direct.c -o kinsol/kinsol_direct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_bbdpre.c -o kinsol/kinsol_bbdpre.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol.c -o kinsol/kinsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_ls.c -o kinsol/kinsol_ls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_spils.c -o kinsol/kinsol_spils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kinsol/kinsol_io.c -o kinsol/kinsol_io.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DNO_FPRINTF_OUTPUT -I"../inst/include" -I"sundials" -include stan_sundials_printf_override.hpp -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -DBOOST_NO_AUTO_PTR -D_REENTRANT -DSTAN_THREADS -DSTRICT_R_HEADERS -DUSE_PTHREAD -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nvector/serial/nvector_serial.c -o nvector/serial/nvector_serial.o ar -rs ../lib/libStanHeaders.a cvodes/cvodes_io.o cvodes/cvodes_nls.o cvodes/cvodes_diag.o cvodes/cvodea.o cvodes/cvodes_direct.o cvodes/cvodea_io.o cvodes/cvodes_nls_stg.o cvodes/cvodes_bbdpre.o cvodes/cvodes_bandpre.o cvodes/cvodes.o cvodes/cvodes_spils.o cvodes/cvodes_ls.o cvodes/cvodes_nls_sim.o cvodes/cvodes_nls_stg1.o sundials/sundials_matrix.o sundials/sundials_futils.o sundials/sundials_direct.o sundials/sundials_nonlinearsolver.o sundials/sundials_version.o sundials/sundials_band.o sundials/sundials_profiler.o sundials/sundials_linearsolver.o sundials/sundials_math.o sundials/sundials_memory.o sundials/sundials_context.o sundials/sundials_nvector.o sundials/sundials_iterative.o sundials/sundials_nvector_senswrapper.o sundials/sundials_dense.o sunmatrix/band/sunmatrix_band.o sunmatrix/dense/sunmatrix_dense.o sunlinsol/band/sunlinsol_band.o sunlinsol/dense/sunlinsol_dense.o sunnonlinsol/newton/sunnonlinsol_newton.o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o idas/idas_spils.o idas/idas_ic.o idas/idaa.o idas/idas_direct.o idas/idaa_io.o idas/idas_nls_stg.o idas/idas_bbdpre.o idas/idas_io.o idas/idas.o idas/idas_ls.o idas/idas_nls.o idas/idas_nls_sim.o sundials/sundials_matrix.o sundials/sundials_futils.o sundials/sundials_direct.o sundials/sundials_nonlinearsolver.o sundials/sundials_version.o sundials/sundials_band.o sundials/sundials_profiler.o sundials/sundials_linearsolver.o sundials/sundials_math.o sundials/sundials_memory.o sundials/sundials_context.o sundials/sundials_nvector.o sundials/sundials_iterative.o sundials/sundials_nvector_senswrapper.o sundials/sundials_dense.o sunmatrix/band/sunmatrix_band.o sunmatrix/dense/sunmatrix_dense.o sunlinsol/band/sunlinsol_band.o sunlinsol/dense/sunlinsol_dense.o sunnonlinsol/newton/sunnonlinsol_newton.o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o kinsol/kinsol_direct.o kinsol/kinsol_bbdpre.o kinsol/kinsol.o kinsol/kinsol_ls.o kinsol/kinsol_spils.o kinsol/kinsol_io.o sundials/sundials_matrix.o sundials/sundials_futils.o sundials/sundials_direct.o sundials/sundials_nonlinearsolver.o sundials/sundials_version.o sundials/sundials_band.o sundials/sundials_profiler.o sundials/sundials_linearsolver.o sundials/sundials_math.o sundials/sundials_memory.o sundials/sundials_context.o sundials/sundials_nvector.o sundials/sundials_iterative.o sundials/sundials_nvector_senswrapper.o sundials/sundials_dense.o sunmatrix/band/sunmatrix_band.o sunmatrix/dense/sunmatrix_dense.o sunlinsol/band/sunlinsol_band.o sunlinsol/dense/sunlinsol_dense.o sunnonlinsol/newton/sunnonlinsol_newton.o sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.o nvector/serial/nvector_serial.o sundials/sundials_math.o ar: creating ../lib/libStanHeaders.a installing via 'install.libs.R' to /tmp/th798/27261227/R-release/841/library/00LOCK-StanHeaders/00new/StanHeaders ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (StanHeaders) * installing *source* package 'lubridate' ... ** this is package 'lubridate' version '1.9.5' ** package 'lubridate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c datetime.c -o datetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c period.c -o period.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tparse.c -o tparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lubridate.so datetime.o init.o period.o tparse.o utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lubridate/00new/lubridate/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lubridate) * installing *source* package 'Amelia' ... ** this is package 'Amelia' version '1.8.3' ** package 'Amelia' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c em.cpp -o em.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Amelia.so em.o init.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. installing to /tmp/th798/27261227/R-release/841/library/00LOCK-Amelia/00new/Amelia/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Amelia) * installing *source* package 'bayestestR' ... ** this is package 'bayestestR' version '0.17.0' ** package 'bayestestR' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bayestestR) * installing *source* package 'betareg' ... ** this is package 'betareg' version '3.2-4' ** package 'betareg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c betareg_init.c -o betareg_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c h3F2.c -o h3F2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o betareg.so betareg_init.o h3F2.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-betareg/00new/betareg/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (betareg) * installing *source* package 'bife' ... ** this is package 'bife' version '0.7.3' ** package 'bife' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bias_corr.cpp -o bias_corr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bife.cpp -o bife.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bife.so RcppExports.o bias_corr.o bife.o -fopenmp -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-bife/00new/bife/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bife) ERROR: dependency 'interval' is not available for package 'DCchoice' Perhaps try a variation of: install.packages('interval') * removing '/tmp/th798/27261227/R-release/841/library/DCchoice' * installing *source* package 'dfidx' ... ** this is package 'dfidx' version '0.2-0' ** package 'dfidx' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dfidx) * installing *source* package 'estimatr' ... ** this is package 'estimatr' version '1.0.6' ** package 'estimatr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:20:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:20:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:22:78: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' RcppExports.cpp:52:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter, 0, Eigen::Stride<0, 0> > >' RcppExports.cpp:85:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c horvitz_thompson_variance.cpp -o horvitz_thompson_variance.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from horvitz_thompson_variance.cpp:4: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' horvitz_thompson_variance.cpp:18:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' horvitz_thompson_variance.cpp:18:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' horvitz_thompson_variance.cpp:20:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lm_robust_helper.cpp -o lm_robust_helper.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from lm_robust_helper.cpp:4: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' lm_robust_helper.cpp:13:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' lm_robust_helper.cpp:13:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' lm_robust_helper.cpp:15:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' lm_robust_helper.cpp:19:26: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' lm_robust_helper.cpp:23:20: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' lm_robust_helper.cpp:48:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Block, -1, 1, true> >' lm_robust_helper.cpp:57:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' lm_robust_helper.cpp:91:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' lm_robust_helper.cpp:100:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' lm_robust_helper.cpp:100:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' lm_robust_helper.cpp:100:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124: required from 'class Eigen::ColPivHouseholderQR >' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from 'class Eigen::ColPivHouseholderQR >' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' lm_robust_helper.cpp:115:124: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' lm_robust_helper.cpp:115:98: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' lm_robust_helper.cpp:131:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>, Eigen::PermutationMatrix<-1, -1, int>, 2>' lm_robust_helper.cpp:131:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' lm_robust_helper.cpp:133:56: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' lm_robust_helper.cpp:137:14: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>' lm_robust_helper.cpp:137:84: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' lm_robust_helper.cpp:151:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' lm_robust_helper.cpp:156:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' lm_robust_helper.cpp:156:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' lm_robust_helper.cpp:162:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' lm_robust_helper.cpp:163:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' lm_robust_helper.cpp:164:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, false>, 0>' lm_robust_helper.cpp:194:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' lm_robust_helper.cpp:246:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:252:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' lm_robust_helper.cpp:254:26: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' lm_robust_helper.cpp:258:42: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' lm_robust_helper.cpp:258:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' lm_robust_helper.cpp:258:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' lm_robust_helper.cpp:260:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:260:67: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:260:67: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>' lm_robust_helper.cpp:288:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' lm_robust_helper.cpp:292:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' lm_robust_helper.cpp:292:65: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' lm_robust_helper.cpp:292:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:292:84: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:292:84: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:292:87: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >&, const Rcpp::Nullable >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double, const Rcpp::Nullable >&, const int&, const bool&, Rcpp::String, const std::vector&, const int&)::, const Eigen::Array >' lm_robust_helper.cpp:298:42: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' lm_robust_helper.cpp:308:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' lm_robust_helper.cpp:308:85: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' lm_robust_helper.cpp:308:94: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' lm_robust_helper.cpp:308:101: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' lm_robust_helper.cpp:308:120: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' lm_robust_helper.cpp:308:129: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' lm_robust_helper.cpp:308:136: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >' lm_robust_helper.cpp:308:137: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' lm_robust_helper.cpp:308:138: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >' lm_robust_helper.cpp:308:138: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' lm_robust_helper.cpp:310:109: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::ArrayWrapper, -1, 1, true> > >, 1, -1> >' lm_robust_helper.cpp:310:109: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' lm_robust_helper.cpp:331:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>' lm_robust_helper.cpp:331:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' lm_robust_helper.cpp:331:79: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>' lm_robust_helper.cpp:352:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' lm_robust_helper.cpp:353:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' lm_robust_helper.cpp:365:65: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' lm_robust_helper.cpp:365:65: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >' lm_robust_helper.cpp:366:56: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >' lm_robust_helper.cpp:366:73: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' lm_robust_helper.cpp:369:69: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>' lm_robust_helper.cpp:369:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >' lm_robust_helper.cpp:369:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' lm_robust_helper.cpp:383:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>' lm_robust_helper.cpp:384:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' lm_robust_helper.cpp:396:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' lm_robust_helper.cpp:396:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>' lm_robust_helper.cpp:396:71: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' lm_robust_helper.cpp:403:85: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' lm_robust_helper.cpp:412:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' lm_robust_helper.cpp:413:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' lm_robust_helper.cpp:418:73: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' lm_robust_helper.cpp:429:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' lm_robust_helper.cpp:457:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:465:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' lm_robust_helper.cpp:465:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' lm_robust_helper.cpp:495:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >' lm_robust_helper.cpp:495:78: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' lm_robust_helper.cpp:495:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Array]' lm_robust_helper.cpp:29:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Array]' lm_robust_helper.cpp:52:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:21: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:299:31: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:292:87: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' lm_robust_helper.cpp:91:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:100:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' lm_robust_helper.cpp:137:112: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' lm_robust_helper.cpp:137:112: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:288:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > > >, 1, -1> >; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:308:138: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:412:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:418:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:23:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, 1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:48:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Derived = Eigen::Block, -1, 1, true>]' lm_robust_helper.cpp:396:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:115:130: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, member_sum, 1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::member_sum, 1>; Derived = Eigen::Block, -1, 1, true>]' lm_robust_helper.cpp:396:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::DiagonalWrapper, 1, -1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:494:61: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:398:81: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:109:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:133:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from 'static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' lm_robust_helper.cpp:260:67: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:402:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:418:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:493:50: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:391:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product >, Eigen::Matrix, 0>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:353:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:430:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' lm_robust_helper.cpp:434:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' lm_robust_helper.cpp:189:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:440:14: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' lm_robust_helper.cpp:156:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:13: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, -1, false>]' lm_robust_helper.cpp:403:89: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:457:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, -1, -1, false> >, 0> >; _MatrixType = Eigen::Matrix]' lm_robust_helper.cpp:370:13: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' lm_robust_helper.cpp:292:86: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:12: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:385:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' lm_robust_helper.cpp:331:83: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c naomit.cpp -o naomit.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from naomit.cpp:4: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o estimatr.so RcppExports.o horvitz_thompson_variance.o lm_robust_helper.o naomit.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-estimatr/00new/estimatr/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (estimatr) * installing *source* package 'future.apply' ... ** this is package 'future.apply' version '1.20.2' ** package 'future.apply' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future.apply) * installing *source* package 'gam' ... ** this is package 'gam' version '1.22-7' ** package 'gam' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c backfit.f -o backfit.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c backlo.f -o backlo.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bsplvd.f -o bsplvd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bvalue.f -o bvalue.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c bvalus.f -o bvalus.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gam_init.c -o gam_init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c linear.f -o linear.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lo.f -o lo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loessc.c -o loessc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c loessf.f -o loessf.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c qsbart.f -o qsbart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sbart.c -o sbart.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sgram.f -o sgram.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sinerp.f -o sinerp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c splsm.f -o splsm.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c sslvrg.f -o sslvrg.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c stxwx.f -o stxwx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gam.so backfit.o backlo.o bsplvd.o bvalue.o bvalus.o gam_init.o linear.o lo.o loessc.o loessf.o qsbart.o sbart.o sgram.o sinerp.o splsm.o sslvrg.o stxwx.o -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-gam/00new/gam/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gam) * installing *source* package 'glmx' ... ** this is package 'glmx' version '0.2-1' ** package 'glmx' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmx) * installing *source* package 'mclogit' ... ** this is package 'mclogit' version '0.9.15' ** package 'mclogit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mclogit) * installing *source* package 'MCMCglmm' ... ** this is package 'MCMCglmm' version '2.36' ** package 'MCMCglmm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMCglmm.cc -o MCMCglmm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMCglmm_init.c -o MCMCglmm_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_add.c -o cs_add.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_addR.c -o cs_addR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_amd.c -o cs_amd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cbind.c -o cs_cbind.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_chol.c -o cs_chol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cholsol.c -o cs_cholsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_compress.c -o cs_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_counts.c -o cs_counts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cov2cor.c -o cs_cov2cor.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_cumsum.c -o cs_cumsum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dcmvnorm.c -o cs_dcmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dense.c -o cs_dense.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dense0.c -o cs_dense0.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dfs.c -o cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_directsum.c -o cs_directsum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_directsumupdate.c -o cs_directsumupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dmperm.c -o cs_dmperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dmvnorm.c -o cs_dmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_droptol.c -o cs_droptol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dropzeros.c -o cs_dropzeros.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dupl.c -o cs_dupl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_entry.c -o cs_entry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_ereach.c -o cs_ereach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_etree.c -o cs_etree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_fkeep.c -o cs_fkeep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_gaxpy.c -o cs_gaxpy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_happly.c -o cs_happly.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_house.c -o cs_house.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_inv.c -o cs_inv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_invR.c -o cs_invR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_ipvec.c -o cs_ipvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerA.c -o cs_kroneckerA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerAupdate.c -o cs_kroneckerAupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerDA.c -o cs_kroneckerDA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerDI.c -o cs_kroneckerDI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerI.c -o cs_kroneckerI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerIadd.c -o cs_kroneckerIadd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerIupdate.c -o cs_kroneckerIupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerSI.c -o cs_kroneckerSI.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_kroneckerSIupdate.c -o cs_kroneckerSIupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_leaf.c -o cs_leaf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_load.c -o cs_load.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_lsolve.c -o cs_lsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_ltsolve.c -o cs_ltsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_lu.c -o cs_lu.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_lusol.c -o cs_lusol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_malloc.c -o cs_malloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_maxtrans.c -o cs_maxtrans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_multiply.c -o cs_multiply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_norm.c -o cs_norm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_omega.c -o cs_omega.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_omegaupdate.c -o cs_omegaupdate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_permute.c -o cs_permute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_pinv.c -o cs_pinv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_post.c -o cs_post.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_print.c -o cs_print.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_pvec.c -o cs_pvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_qr.c -o cs_qr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_qrsol.c -o cs_qrsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rAnte.c -o cs_rAnte.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rCinvwishart.c -o cs_rCinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rR.c -o cs_rR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rRsubinvwishart.c -o cs_rRsubinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rSinvwishart.c -o cs_rSinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_randperm.c -o cs_randperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_reach.c -o cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rinvwishart.c -o cs_rinvwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_rwishart.c -o cs_rwishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_scatter.c -o cs_scatter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_scc.c -o cs_scc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_schol.c -o cs_schol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_schur.c -o cs_schur.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_sortdv.c -o cs_sortdv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_spsolve.c -o cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_sqr.c -o cs_sqr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_symperm.c -o cs_symperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_tdfs.c -o cs_tdfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_transpose.c -o cs_transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_updown.c -o cs_updown.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_usolve.c -o cs_usolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_util.c -o cs_util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_utsolve.c -o cs_utsolve.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dcmvnormR.cc -o dcmvnormR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dcutpoints.c -o dcutpoints.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inverseA.cc -o inverseA.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pcmvnorm.c -o pcmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkk.c -o pkk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pkkR.cc -o pkkR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rIW.cc -o rIW.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rante.cc -o rante.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbv.cc -o rbv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtcmvnorm.c -o rtcmvnorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtcmvnormR.cc -o rtcmvnormR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtnorm.c -o rtnorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rtnormR.cc -o rtnormR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o MCMCglmm.so MCMCglmm.o MCMCglmm_init.o cs_add.o cs_addR.o cs_amd.o cs_cbind.o cs_chol.o cs_cholsol.o cs_compress.o cs_counts.o cs_cov2cor.o cs_cumsum.o cs_dcmvnorm.o cs_dense.o cs_dense0.o cs_dfs.o cs_directsum.o cs_directsumupdate.o cs_dmperm.o cs_dmvnorm.o cs_droptol.o cs_dropzeros.o cs_dupl.o cs_entry.o cs_ereach.o cs_etree.o cs_fkeep.o cs_gaxpy.o cs_happly.o cs_house.o cs_inv.o cs_invR.o cs_ipvec.o cs_kroneckerA.o cs_kroneckerAupdate.o cs_kroneckerDA.o cs_kroneckerDI.o cs_kroneckerI.o cs_kroneckerIadd.o cs_kroneckerIupdate.o cs_kroneckerSI.o cs_kroneckerSIupdate.o cs_leaf.o cs_load.o cs_lsolve.o cs_ltsolve.o cs_lu.o cs_lusol.o cs_malloc.o cs_maxtrans.o cs_multiply.o cs_norm.o cs_omega.o cs_omegaupdate.o cs_permute.o cs_pinv.o cs_post.o cs_print.o cs_pvec.o cs_qr.o cs_qrsol.o cs_rAnte.o cs_rCinvwishart.o cs_rR.o cs_rRsubinvwishart.o cs_rSinvwishart.o cs_randperm.o cs_reach.o cs_rinvwishart.o cs_rwishart.o cs_scatter.o cs_scc.o cs_schol.o cs_schur.o cs_sortdv.o cs_spsolve.o cs_sqr.o cs_symperm.o cs_tdfs.o cs_transpose.o cs_updown.o cs_usolve.o cs_util.o cs_utsolve.o dcmvnormR.o dcutpoints.o inverseA.o pcmvnorm.o pkk.o pkkR.o rIW.o rante.o rbv.o rtcmvnorm.o rtcmvnormR.o rtnorm.o rtnormR.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-MCMCglmm/00new/MCMCglmm/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MCMCglmm) * installing *source* package 'multcomp' ... ** this is package 'multcomp' version '1.4-30' ** package 'multcomp' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (multcomp) * installing *source* package 'reticulate' ... ** this is package 'reticulate' version '1.45.0' ** package 'reticulate' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c event_loop.cpp -o event_loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libpython.cpp -o libpython.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c output.cpp -o output.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pending_py_calls_notifier.cpp -o pending_py_calls_notifier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c python.cpp -o python.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readline.cpp -o readline.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c signals.cpp -o signals.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o reticulate.so RcppExports.o event_loop.o libpython.o output.o pending_py_calls_notifier.o python.o readline.o signals.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-reticulate/00new/reticulate/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reticulate) * installing *source* package 'rstantools' ... ** this is package 'rstantools' version '2.6.0' ** package 'rstantools' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstantools) * installing *source* package 'rstpm2' ... ** this is package 'rstpm2' version '1.7.1' ** package 'rstpm2' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aft.cpp -o aft.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c_optim.cpp -o c_optim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cox_ph.cpp -o cox_ph.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c gaussq2.f -o gaussq2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsm.cpp -o gsm.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c laplace.f90 -o laplace.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multistate.cpp -o multistate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c package_init.c -o package_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pluginEstimate2.cpp -o pluginEstimate2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c splines.cpp -o splines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-nmmin.cpp -o test-nmmin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vintegrate.cpp -o vintegrate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vuniroot.cpp -o vuniroot.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rstpm2.so RcppExports.o aft.o c_optim.o cox_ph.o gaussq2.o gsm.o laplace.o multistate.o package_init.o pluginEstimate2.o splines.o test-nmmin.o utils.o vintegrate.o vuniroot.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rstpm2/00new/rstpm2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstpm2) * installing *source* package 'speedglm' ... ** this is package 'speedglm' version '0.3-5' ** package 'speedglm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (speedglm) * installing *source* package 'survey' ... ** this is package 'survey' version '4.5' ** package 'survey' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c arma_multistage.cpp -o arma_multistage.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o survey.so RcppExports.o arma_multistage.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-survey/00new/survey/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (survey) * installing *source* package 'systemfonts' ... ** this is package 'systemfonts' version '1.3.2' ** package 'systemfonts' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lfontconfig -lfreetype ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' rm -f systemfonts.so caches.o cpp11.o dev_metrics.o font_matching.o font_local.o font_variation.o font_registry.o ft_cache.o string_shape.o font_metrics.o font_outlines.o font_fallback.o string_metrics.o emoji.o cache_store.o init.o unix/FontManagerLinux.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c caches.cpp -o caches.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dev_metrics.cpp -o dev_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_matching.cpp -o font_matching.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_local.cpp -o font_local.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_variation.cpp -o font_variation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_registry.cpp -o font_registry.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ft_cache.cpp -o ft_cache.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_shape.cpp -o string_shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_metrics.cpp -o font_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_outlines.cpp -o font_outlines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c font_fallback.cpp -o font_fallback.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_metrics.cpp -o string_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c emoji.cpp -o emoji.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cache_store.cpp -o cache_store.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/FontManagerLinux.cpp -o unix/FontManagerLinux.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o systemfonts.so caches.o cpp11.o dev_metrics.o font_matching.o font_local.o font_variation.o font_registry.o ft_cache.o string_shape.o font_metrics.o font_outlines.o font_fallback.o string_metrics.o emoji.o cache_store.o init.o unix/FontManagerLinux.o -L/home/th798/.conda/envs/emacs1/lib -lfontconfig -lfreetype installing to /tmp/th798/27261227/R-release/841/library/00LOCK-systemfonts/00new/systemfonts/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (systemfonts) * installing *source* package 'tinysnapshot' ... ** this is package 'tinysnapshot' version '0.2.0' ** package 'tinysnapshot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinysnapshot) * installing *source* package 'knitr' ... ** this is package 'knitr' version '1.51' ** package 'knitr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (knitr) * installing *source* package 'marginaleffects' ... ** this is package 'marginaleffects' version '0.32.0' ** package 'marginaleffects' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (marginaleffects) * installing *source* package 'lava' ... ** this is package 'lava' version '1.8.2' ** package 'lava' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lava) * installing *source* package 'doFuture' ... ** this is package 'doFuture' version '1.2.1' ** package 'doFuture' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (doFuture) * installing *source* package 'igraph' ... ** this is package 'igraph' version '2.2.2' ** package 'igraph' successfully unpacked and MD5 sums checked ** using staged installation libxml2 include directories: -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include libxml2 library link flags: -L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl Using installed GLPK /usr/bin/cp -f src/Makevars.new src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dgetv0.f -o vendor/arpack/dgetv0.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dlaqrb.f -o vendor/arpack/dlaqrb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dmout.f -o vendor/arpack/dmout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnaitr.f -o vendor/arpack/dnaitr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnapps.f -o vendor/arpack/dnapps.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnaup2.f -o vendor/arpack/dnaup2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnaupd.f -o vendor/arpack/dnaupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dnconv.f -o vendor/arpack/dnconv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dneigh.f -o vendor/arpack/dneigh.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dneupd.f -o vendor/arpack/dneupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dngets.f -o vendor/arpack/dngets.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsaitr.f -o vendor/arpack/dsaitr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsapps.f -o vendor/arpack/dsapps.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsaup2.f -o vendor/arpack/dsaup2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsaupd.f -o vendor/arpack/dsaupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsconv.f -o vendor/arpack/dsconv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dseigt.f -o vendor/arpack/dseigt.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsesrt.f -o vendor/arpack/dsesrt.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dseupd.f -o vendor/arpack/dseupd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsgets.f -o vendor/arpack/dsgets.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsortc.f -o vendor/arpack/dsortc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dsortr.f -o vendor/arpack/dsortr.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dstatn.f -o vendor/arpack/dstatn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dstats.f -o vendor/arpack/dstats.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dstqrb.f -o vendor/arpack/dstqrb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/dvout.f -o vendor/arpack/dvout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/ivout.f -o vendor/arpack/ivout.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/second.f -o vendor/arpack/second.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fvisibility=hidden -fpic -g -O2 -c vendor/arpack/wrap.f -o vendor/arpack/wrap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/betweenness.c -o vendor/cigraph/src/centrality/betweenness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/centrality_other.c -o vendor/cigraph/src/centrality/centrality_other.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/centralization.c -o vendor/cigraph/src/centrality/centralization.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/closeness.c -o vendor/cigraph/src/centrality/closeness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/coreness.c -o vendor/cigraph/src/centrality/coreness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/eigenvector.c -o vendor/cigraph/src/centrality/eigenvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/hub_authority.c -o vendor/cigraph/src/centrality/hub_authority.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/pagerank.c -o vendor/cigraph/src/centrality/pagerank.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack.cpp -o vendor/cigraph/src/centrality/prpack.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_base_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_base_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_result.cpp -o vendor/cigraph/src/centrality/prpack/prpack_result.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_solver.cpp -o vendor/cigraph/src/centrality/prpack/prpack_solver.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/prpack/prpack_utils.cpp -o vendor/cigraph/src/centrality/prpack/prpack_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/centrality/truss.cpp -o vendor/cigraph/src/centrality/truss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer/cliquer.c -o vendor/cigraph/src/cliques/cliquer/cliquer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer/cliquer_graph.c -o vendor/cigraph/src/cliques/cliquer/cliquer_graph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer/reorder.c -o vendor/cigraph/src/cliques/cliquer/reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliquer_wrapper.c -o vendor/cigraph/src/cliques/cliquer_wrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/cliques.c -o vendor/cigraph/src/cliques/cliques.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/glet.c -o vendor/cigraph/src/cliques/glet.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cliques/maximal_cliques.c -o vendor/cigraph/src/cliques/maximal_cliques.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/community_misc.c -o vendor/cigraph/src/community/community_misc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/edge_betweenness.c -o vendor/cigraph/src/community/edge_betweenness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/fast_modularity.c -o vendor/cigraph/src/community/fast_modularity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/fluid.c -o vendor/cigraph/src/community/fluid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/infomap/infomap.cc -o vendor/cigraph/src/community/infomap/infomap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/infomap/infomap_FlowGraph.cc -o vendor/cigraph/src/community/infomap/infomap_FlowGraph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/infomap/infomap_Greedy.cc -o vendor/cigraph/src/community/infomap/infomap_Greedy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/label_propagation.c -o vendor/cigraph/src/community/label_propagation.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/leading_eigenvector.c -o vendor/cigraph/src/community/leading_eigenvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/leiden.c -o vendor/cigraph/src/community/leiden.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/louvain.c -o vendor/cigraph/src/community/louvain.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/modularity.c -o vendor/cigraph/src/community/modularity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/optimal_modularity.c -o vendor/cigraph/src/community/optimal_modularity.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/NetDataTypes.cpp -o vendor/cigraph/src/community/spinglass/NetDataTypes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/NetRoutines.cpp -o vendor/cigraph/src/community/spinglass/NetRoutines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/clustertool.cpp -o vendor/cigraph/src/community/spinglass/clustertool.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/spinglass/pottsmodel_2.cpp -o vendor/cigraph/src/community/spinglass/pottsmodel_2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/voronoi.c -o vendor/cigraph/src/community/voronoi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap.cpp -o vendor/cigraph/src/community/walktrap/walktrap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap_communities.cpp -o vendor/cigraph/src/community/walktrap/walktrap_communities.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap_graph.cpp -o vendor/cigraph/src/community/walktrap/walktrap_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/community/walktrap/walktrap_heap.cpp -o vendor/cigraph/src/community/walktrap/walktrap_heap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/cohesive_blocks.c -o vendor/cigraph/src/connectivity/cohesive_blocks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/components.c -o vendor/cigraph/src/connectivity/components.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/percolation.c -o vendor/cigraph/src/connectivity/percolation.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/reachability.c -o vendor/cigraph/src/connectivity/reachability.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/connectivity/separators.c -o vendor/cigraph/src/connectivity/separators.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/adjacency.c -o vendor/cigraph/src/constructors/adjacency.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/atlas.c -o vendor/cigraph/src/constructors/atlas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/basic_constructors.c -o vendor/cigraph/src/constructors/basic_constructors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/circulant.c -o vendor/cigraph/src/constructors/circulant.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/de_bruijn.c -o vendor/cigraph/src/constructors/de_bruijn.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/famous.c -o vendor/cigraph/src/constructors/famous.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/full.c -o vendor/cigraph/src/constructors/full.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/generalized_petersen.c -o vendor/cigraph/src/constructors/generalized_petersen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/kautz.c -o vendor/cigraph/src/constructors/kautz.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/lattices.c -o vendor/cigraph/src/constructors/lattices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/lcf.c -o vendor/cigraph/src/constructors/lcf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/linegraph.c -o vendor/cigraph/src/constructors/linegraph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/mycielskian.c -o vendor/cigraph/src/constructors/mycielskian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/prufer.c -o vendor/cigraph/src/constructors/prufer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/regular.c -o vendor/cigraph/src/constructors/regular.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/constructors/trees.c -o vendor/cigraph/src/constructors/trees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/array.c -o vendor/cigraph/src/core/array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/bitset.c -o vendor/cigraph/src/core/bitset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/bitset_list.c -o vendor/cigraph/src/core/bitset_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/buckets.c -o vendor/cigraph/src/core/buckets.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/cutheap.c -o vendor/cigraph/src/core/cutheap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/dqueue.c -o vendor/cigraph/src/core/dqueue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/error.c -o vendor/cigraph/src/core/error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/estack.c -o vendor/cigraph/src/core/estack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/fixed_vectorlist.c -o vendor/cigraph/src/core/fixed_vectorlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/genheap.c -o vendor/cigraph/src/core/genheap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/grid.c -o vendor/cigraph/src/core/grid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/heap.c -o vendor/cigraph/src/core/heap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/indheap.c -o vendor/cigraph/src/core/indheap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/interruption.c -o vendor/cigraph/src/core/interruption.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/marked_queue.c -o vendor/cigraph/src/core/marked_queue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/matrix.c -o vendor/cigraph/src/core/matrix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/matrix_list.c -o vendor/cigraph/src/core/matrix_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/memory.c -o vendor/cigraph/src/core/memory.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/printing.c -o vendor/cigraph/src/core/printing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/progress.c -o vendor/cigraph/src/core/progress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/psumtree.c -o vendor/cigraph/src/core/psumtree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/set.c -o vendor/cigraph/src/core/set.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/sparsemat.c -o vendor/cigraph/src/core/sparsemat.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/stack.c -o vendor/cigraph/src/core/stack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/statusbar.c -o vendor/cigraph/src/core/statusbar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/strvector.c -o vendor/cigraph/src/core/strvector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/trie.c -o vendor/cigraph/src/core/trie.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/vector.c -o vendor/cigraph/src/core/vector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/vector_list.c -o vendor/cigraph/src/core/vector_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/core/vector_ptr.c -o vendor/cigraph/src/core/vector_ptr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/cycles/simple_cycles.c -o vendor/cigraph/src/cycles/simple_cycles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/flow/flow.c -o vendor/cigraph/src/flow/flow.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/flow/flow_conversion.c -o vendor/cigraph/src/flow/flow_conversion.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/flow/st-cuts.c -o vendor/cigraph/src/flow/st-cuts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/barabasi.c -o vendor/cigraph/src/games/barabasi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/callaway_traits.c -o vendor/cigraph/src/games/callaway_traits.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/chung_lu.c -o vendor/cigraph/src/games/chung_lu.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/citations.c -o vendor/cigraph/src/games/citations.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/correlated.c -o vendor/cigraph/src/games/correlated.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence.c -o vendor/cigraph/src/games/degree_sequence.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/dotproduct.c -o vendor/cigraph/src/games/dotproduct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/erdos_renyi.c -o vendor/cigraph/src/games/erdos_renyi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/establishment.c -o vendor/cigraph/src/games/establishment.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/forestfire.c -o vendor/cigraph/src/games/forestfire.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/grg.c -o vendor/cigraph/src/games/grg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/growing_random.c -o vendor/cigraph/src/games/growing_random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/islands.c -o vendor/cigraph/src/games/islands.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/k_regular.c -o vendor/cigraph/src/games/k_regular.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/preference.c -o vendor/cigraph/src/games/preference.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/recent_degree.c -o vendor/cigraph/src/games/recent_degree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/sbm.c -o vendor/cigraph/src/games/sbm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/static_fitness.c -o vendor/cigraph/src/games/static_fitness.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/tree.c -o vendor/cigraph/src/games/tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/games/watts_strogatz.c -o vendor/cigraph/src/games/watts_strogatz.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/adjlist.c -o vendor/cigraph/src/graph/adjlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/attributes.c -o vendor/cigraph/src/graph/attributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/basic_query.c -o vendor/cigraph/src/graph/basic_query.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/caching.c -o vendor/cigraph/src/graph/caching.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/cattributes.c -o vendor/cigraph/src/graph/cattributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/graph_list.c -o vendor/cigraph/src/graph/graph_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/iterators.c -o vendor/cigraph/src/graph/iterators.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/type_common.c -o vendor/cigraph/src/graph/type_common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/type_indexededgelist.c -o vendor/cigraph/src/graph/type_indexededgelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/graph/visitors.c -o vendor/cigraph/src/graph/visitors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/hrg/hrg.cc -o vendor/cigraph/src/hrg/hrg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/hrg/hrg_types.cc -o vendor/cigraph/src/hrg/hrg_types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/glpk_support.c -o vendor/cigraph/src/internal/glpk_support.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/hacks.c -o vendor/cigraph/src/internal/hacks.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/lsap.c -o vendor/cigraph/src/internal/lsap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/qsort.c -o vendor/cigraph/src/internal/qsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/qsort_r.c -o vendor/cigraph/src/internal/qsort_r.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/utils.c -o vendor/cigraph/src/internal/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/internal/zeroin.c -o vendor/cigraph/src/internal/zeroin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/dimacs.c -o vendor/cigraph/src/io/dimacs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/dl.c -o vendor/cigraph/src/io/dl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/dot.c -o vendor/cigraph/src/io/dot.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/edgelist.c -o vendor/cigraph/src/io/edgelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/gml-tree.c -o vendor/cigraph/src/io/gml-tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/gml.c -o vendor/cigraph/src/io/gml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/graphdb.c -o vendor/cigraph/src/io/graphdb.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/graphml.c -o vendor/cigraph/src/io/graphml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/leda.c -o vendor/cigraph/src/io/leda.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/lgl.c -o vendor/cigraph/src/io/lgl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/ncol.c -o vendor/cigraph/src/io/ncol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/pajek.c -o vendor/cigraph/src/io/pajek.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/io/parse_utils.c -o vendor/cigraph/src/io/parse_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss.cc -o vendor/cigraph/src/isomorphism/bliss.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/defs.cc -o vendor/cigraph/src/isomorphism/bliss/defs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/graph.cc -o vendor/cigraph/src/isomorphism/bliss/graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/heap.cc -o vendor/cigraph/src/isomorphism/bliss/heap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/orbit.cc -o vendor/cigraph/src/isomorphism/bliss/orbit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/partition.cc -o vendor/cigraph/src/isomorphism/bliss/partition.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/uintseqhash.cc -o vendor/cigraph/src/isomorphism/bliss/uintseqhash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/bliss/utils.cc -o vendor/cigraph/src/isomorphism/bliss/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/isoclasses.c -o vendor/cigraph/src/isomorphism/isoclasses.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/isomorphism_misc.c -o vendor/cigraph/src/isomorphism/isomorphism_misc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/lad.c -o vendor/cigraph/src/isomorphism/lad.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/queries.c -o vendor/cigraph/src/isomorphism/queries.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/isomorphism/vf2.c -o vendor/cigraph/src/isomorphism/vf2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/align.c -o vendor/cigraph/src/layout/align.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/circular.c -o vendor/cigraph/src/layout/circular.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/davidson_harel.c -o vendor/cigraph/src/layout/davidson_harel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/DensityGrid.cpp -o vendor/cigraph/src/layout/drl/DensityGrid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/DensityGrid_3d.cpp -o vendor/cigraph/src/layout/drl/DensityGrid_3d.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_graph.cpp -o vendor/cigraph/src/layout/drl/drl_graph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_graph_3d.cpp -o vendor/cigraph/src/layout/drl/drl_graph_3d.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_layout.cpp -o vendor/cigraph/src/layout/drl/drl_layout.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_layout_3d.cpp -o vendor/cigraph/src/layout/drl/drl_layout_3d.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/drl/drl_parse.cpp -o vendor/cigraph/src/layout/drl/drl_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/fruchterman_reingold.c -o vendor/cigraph/src/layout/fruchterman_reingold.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/gem.c -o vendor/cigraph/src/layout/gem.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/graphopt.c -o vendor/cigraph/src/layout/graphopt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/kamada_kawai.c -o vendor/cigraph/src/layout/kamada_kawai.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/large_graph.c -o vendor/cigraph/src/layout/large_graph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/layout_bipartite.c -o vendor/cigraph/src/layout/layout_bipartite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/layout_grid.c -o vendor/cigraph/src/layout/layout_grid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/layout_random.c -o vendor/cigraph/src/layout/layout_random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/mds.c -o vendor/cigraph/src/layout/mds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/merge_dla.c -o vendor/cigraph/src/layout/merge_dla.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/merge_grid.c -o vendor/cigraph/src/layout/merge_grid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/reingold_tilford.c -o vendor/cigraph/src/layout/reingold_tilford.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/sugiyama.c -o vendor/cigraph/src/layout/sugiyama.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/layout/umap.c -o vendor/cigraph/src/layout/umap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/arpack.c -o vendor/cigraph/src/linalg/arpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/blas.c -o vendor/cigraph/src/linalg/blas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/eigen.c -o vendor/cigraph/src/linalg/eigen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/linalg/lapack.c -o vendor/cigraph/src/linalg/lapack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/math/complex.c -o vendor/cigraph/src/math/complex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/math/safe_intop.c -o vendor/cigraph/src/math/safe_intop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/math/utils.c -o vendor/cigraph/src/math/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/bipartite.c -o vendor/cigraph/src/misc/bipartite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/chordality.c -o vendor/cigraph/src/misc/chordality.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/cocitation.c -o vendor/cigraph/src/misc/cocitation.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/coloring.c -o vendor/cigraph/src/misc/coloring.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/conversion.c -o vendor/cigraph/src/misc/conversion.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/cycle_bases.c -o vendor/cigraph/src/misc/cycle_bases.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/degree_sequence.cpp -o vendor/cigraph/src/misc/degree_sequence.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/embedding.c -o vendor/cigraph/src/misc/embedding.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/feedback_arc_set.c -o vendor/cigraph/src/misc/feedback_arc_set.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/graphicality.c -o vendor/cigraph/src/misc/graphicality.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/matching.c -o vendor/cigraph/src/misc/matching.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/microscopic_update.c -o vendor/cigraph/src/misc/microscopic_update.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/mixing.c -o vendor/cigraph/src/misc/mixing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/motifs.c -o vendor/cigraph/src/misc/motifs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/order_cycle.cpp -o vendor/cigraph/src/misc/order_cycle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/other.c -o vendor/cigraph/src/misc/other.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/power_law_fit.c -o vendor/cigraph/src/misc/power_law_fit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/scan.c -o vendor/cigraph/src/misc/scan.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/sir.c -o vendor/cigraph/src/misc/sir.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/misc/spanning_trees.c -o vendor/cigraph/src/misc/spanning_trees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/add_edge.c -o vendor/cigraph/src/operators/add_edge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/complementer.c -o vendor/cigraph/src/operators/complementer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/compose.c -o vendor/cigraph/src/operators/compose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/connect_neighborhood.c -o vendor/cigraph/src/operators/connect_neighborhood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/contract.c -o vendor/cigraph/src/operators/contract.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/difference.c -o vendor/cigraph/src/operators/difference.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/disjoint_union.c -o vendor/cigraph/src/operators/disjoint_union.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/intersection.c -o vendor/cigraph/src/operators/intersection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/join.c -o vendor/cigraph/src/operators/join.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/misc_internal.c -o vendor/cigraph/src/operators/misc_internal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/permute.c -o vendor/cigraph/src/operators/permute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/products.c -o vendor/cigraph/src/operators/products.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/reverse.c -o vendor/cigraph/src/operators/reverse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/rewire.c -o vendor/cigraph/src/operators/rewire.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/rewire_edges.c -o vendor/cigraph/src/operators/rewire_edges.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/simplify.c -o vendor/cigraph/src/operators/simplify.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/subgraph.c -o vendor/cigraph/src/operators/subgraph.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/operators/union.c -o vendor/cigraph/src/operators/union.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/all_shortest_paths.c -o vendor/cigraph/src/paths/all_shortest_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/astar.c -o vendor/cigraph/src/paths/astar.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/bellman_ford.c -o vendor/cigraph/src/paths/bellman_ford.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/dijkstra.c -o vendor/cigraph/src/paths/dijkstra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/distances.c -o vendor/cigraph/src/paths/distances.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/eulerian.c -o vendor/cigraph/src/paths/eulerian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/floyd_warshall.c -o vendor/cigraph/src/paths/floyd_warshall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/histogram.c -o vendor/cigraph/src/paths/histogram.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/johnson.c -o vendor/cigraph/src/paths/johnson.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/random_walk.c -o vendor/cigraph/src/paths/random_walk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/shortest_paths.c -o vendor/cigraph/src/paths/shortest_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/simple_paths.c -o vendor/cigraph/src/paths/simple_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/sparsifier.c -o vendor/cigraph/src/paths/sparsifier.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/unweighted.c -o vendor/cigraph/src/paths/unweighted.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/voronoi.c -o vendor/cigraph/src/paths/voronoi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/paths/widest_paths.c -o vendor/cigraph/src/paths/widest_paths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/basic_properties.c -o vendor/cigraph/src/properties/basic_properties.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/complete.c -o vendor/cigraph/src/properties/complete.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/constraint.c -o vendor/cigraph/src/properties/constraint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/convergence_degree.c -o vendor/cigraph/src/properties/convergence_degree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/dag.c -o vendor/cigraph/src/properties/dag.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/degrees.c -o vendor/cigraph/src/properties/degrees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/ecc.c -o vendor/cigraph/src/properties/ecc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/girth.c -o vendor/cigraph/src/properties/girth.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/loops.c -o vendor/cigraph/src/properties/loops.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/multiplicity.c -o vendor/cigraph/src/properties/multiplicity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/neighborhood.c -o vendor/cigraph/src/properties/neighborhood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/perfect.c -o vendor/cigraph/src/properties/perfect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/rich_club.c -o vendor/cigraph/src/properties/rich_club.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/spectral.c -o vendor/cigraph/src/properties/spectral.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/trees.c -o vendor/cigraph/src/properties/trees.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/properties/triangles.c -o vendor/cigraph/src/properties/triangles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/random.c -o vendor/cigraph/src/random/random.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_glibc2.c -o vendor/cigraph/src/random/rng_glibc2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_mt19937.c -o vendor/cigraph/src/random/rng_mt19937.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_pcg32.c -o vendor/cigraph/src/random/rng_pcg32.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/random/rng_pcg64.c -o vendor/cigraph/src/random/rng_pcg64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/src/version.c -o vendor/cigraph/src/version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_add.c -o vendor/cigraph/vendor/cs/cs_add.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_amd.c -o vendor/cigraph/vendor/cs/cs_amd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_chol.c -o vendor/cigraph/vendor/cs/cs_chol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_cholsol.c -o vendor/cigraph/vendor/cs/cs_cholsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_compress.c -o vendor/cigraph/vendor/cs/cs_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_counts.c -o vendor/cigraph/vendor/cs/cs_counts.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_cumsum.c -o vendor/cigraph/vendor/cs/cs_cumsum.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dfs.c -o vendor/cigraph/vendor/cs/cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dmperm.c -o vendor/cigraph/vendor/cs/cs_dmperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_droptol.c -o vendor/cigraph/vendor/cs/cs_droptol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dropzeros.c -o vendor/cigraph/vendor/cs/cs_dropzeros.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_dupl.c -o vendor/cigraph/vendor/cs/cs_dupl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_entry.c -o vendor/cigraph/vendor/cs/cs_entry.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_ereach.c -o vendor/cigraph/vendor/cs/cs_ereach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_etree.c -o vendor/cigraph/vendor/cs/cs_etree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_fkeep.c -o vendor/cigraph/vendor/cs/cs_fkeep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_gaxpy.c -o vendor/cigraph/vendor/cs/cs_gaxpy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_happly.c -o vendor/cigraph/vendor/cs/cs_happly.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_house.c -o vendor/cigraph/vendor/cs/cs_house.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_ipvec.c -o vendor/cigraph/vendor/cs/cs_ipvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_leaf.c -o vendor/cigraph/vendor/cs/cs_leaf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_load.c -o vendor/cigraph/vendor/cs/cs_load.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_lsolve.c -o vendor/cigraph/vendor/cs/cs_lsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_ltsolve.c -o vendor/cigraph/vendor/cs/cs_ltsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_lu.c -o vendor/cigraph/vendor/cs/cs_lu.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_lusol.c -o vendor/cigraph/vendor/cs/cs_lusol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_malloc.c -o vendor/cigraph/vendor/cs/cs_malloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_maxtrans.c -o vendor/cigraph/vendor/cs/cs_maxtrans.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_multiply.c -o vendor/cigraph/vendor/cs/cs_multiply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_norm.c -o vendor/cigraph/vendor/cs/cs_norm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_permute.c -o vendor/cigraph/vendor/cs/cs_permute.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_pinv.c -o vendor/cigraph/vendor/cs/cs_pinv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_post.c -o vendor/cigraph/vendor/cs/cs_post.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_print.c -o vendor/cigraph/vendor/cs/cs_print.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_pvec.c -o vendor/cigraph/vendor/cs/cs_pvec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_qr.c -o vendor/cigraph/vendor/cs/cs_qr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_qrsol.c -o vendor/cigraph/vendor/cs/cs_qrsol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_randperm.c -o vendor/cigraph/vendor/cs/cs_randperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_reach.c -o vendor/cigraph/vendor/cs/cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_scatter.c -o vendor/cigraph/vendor/cs/cs_scatter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_scc.c -o vendor/cigraph/vendor/cs/cs_scc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_schol.c -o vendor/cigraph/vendor/cs/cs_schol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_spsolve.c -o vendor/cigraph/vendor/cs/cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_sqr.c -o vendor/cigraph/vendor/cs/cs_sqr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_symperm.c -o vendor/cigraph/vendor/cs/cs_symperm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_tdfs.c -o vendor/cigraph/vendor/cs/cs_tdfs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_transpose.c -o vendor/cigraph/vendor/cs/cs_transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_updown.c -o vendor/cigraph/vendor/cs/cs_updown.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_usolve.c -o vendor/cigraph/vendor/cs/cs_usolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_util.c -o vendor/cigraph/vendor/cs/cs_util.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/cs/cs_utsolve.c -o vendor/cigraph/vendor/cs/cs_utsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-advance-128.c -o vendor/cigraph/vendor/pcg/pcg-advance-128.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-advance-64.c -o vendor/cigraph/vendor/pcg/pcg-advance-64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-output-128.c -o vendor/cigraph/vendor/pcg/pcg-output-128.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-output-32.c -o vendor/cigraph/vendor/pcg/pcg-output-32.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-output-64.c -o vendor/cigraph/vendor/pcg/pcg-output-64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-rngs-128.c -o vendor/cigraph/vendor/pcg/pcg-rngs-128.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/pcg/pcg-rngs-64.c -o vendor/cigraph/vendor/pcg/pcg-rngs-64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/gss.c -o vendor/cigraph/vendor/plfit/gss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/hzeta.c -o vendor/cigraph/vendor/plfit/hzeta.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/kolmogorov.c -o vendor/cigraph/vendor/plfit/kolmogorov.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/lbfgs.c -o vendor/cigraph/vendor/plfit/lbfgs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/mt.c -o vendor/cigraph/vendor/plfit/mt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/options.c -o vendor/cigraph/vendor/plfit/options.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/plfit.c -o vendor/cigraph/vendor/plfit/plfit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/plfit_error.c -o vendor/cigraph/vendor/plfit/plfit_error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/rbinom.c -o vendor/cigraph/vendor/plfit/rbinom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/plfit/sampling.c -o vendor/cigraph/vendor/plfit/sampling.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/dl-lexer.c -o vendor/io/dl-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/dl-parser.c -o vendor/io/dl-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/gml-lexer.c -o vendor/io/gml-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/gml-parser.c -o vendor/io/gml-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/lgl-lexer.c -o vendor/io/lgl-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/lgl-parser.c -o vendor/io/lgl-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/ncol-lexer.c -o vendor/io/ncol-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/ncol-parser.c -o vendor/io/ncol-parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/pajek-lexer.c -o vendor/io/pajek-lexer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/io/pajek-parser.c -o vendor/io/pajek-parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Color.cpp -o vendor/simpleraytracer/Color.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Light.cpp -o vendor/simpleraytracer/Light.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Point.cpp -o vendor/simpleraytracer/Point.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Ray.cpp -o vendor/simpleraytracer/Ray.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/RayTracer.cpp -o vendor/simpleraytracer/RayTracer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/RayVector.cpp -o vendor/simpleraytracer/RayVector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Shape.cpp -o vendor/simpleraytracer/Shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Sphere.cpp -o vendor/simpleraytracer/Sphere.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/Triangle.cpp -o vendor/simpleraytracer/Triangle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/simpleraytracer/unit_limiter.cpp -o vendor/simpleraytracer/unit_limiter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/clear.c -o vendor/uuid/clear.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/compare.c -o vendor/uuid/compare.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/copy.c -o vendor/uuid/copy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/gen_uuid.c -o vendor/uuid/gen_uuid.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/isnull.c -o vendor/uuid/isnull.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/pack.c -o vendor/uuid/pack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/parse.c -o vendor/uuid/parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/unpack.c -o vendor/uuid/unpack.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/uuid/unparse.c -o vendor/uuid/unparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rinterface.c -o rinterface.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rinterface_extra.c -o rinterface_extra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rrandom.c -o rrandom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uuid.c -o uuid.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpprinterface.cpp -o cpprinterface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c simpleraytracer.cpp -o simpleraytracer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/home/th798/.conda/envs/emacs1/include/libxml2 -I/home/th798/.conda/envs/emacs1/include -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vendor/cigraph/vendor/mini-gmp/mini-gmp.c -o vendor/cigraph/vendor/mini-gmp/mini-gmp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o igraph.so vendor/arpack/dgetv0.o vendor/arpack/dlaqrb.o vendor/arpack/dmout.o vendor/arpack/dnaitr.o vendor/arpack/dnapps.o vendor/arpack/dnaup2.o vendor/arpack/dnaupd.o vendor/arpack/dnconv.o vendor/arpack/dneigh.o vendor/arpack/dneupd.o vendor/arpack/dngets.o vendor/arpack/dsaitr.o vendor/arpack/dsapps.o vendor/arpack/dsaup2.o vendor/arpack/dsaupd.o vendor/arpack/dsconv.o vendor/arpack/dseigt.o vendor/arpack/dsesrt.o vendor/arpack/dseupd.o vendor/arpack/dsgets.o vendor/arpack/dsortc.o vendor/arpack/dsortr.o vendor/arpack/dstatn.o vendor/arpack/dstats.o vendor/arpack/dstqrb.o vendor/arpack/dvout.o vendor/arpack/ivout.o vendor/arpack/second.o vendor/arpack/wrap.o vendor/cigraph/src/centrality/betweenness.o vendor/cigraph/src/centrality/centrality_other.o vendor/cigraph/src/centrality/centralization.o vendor/cigraph/src/centrality/closeness.o vendor/cigraph/src/centrality/coreness.o vendor/cigraph/src/centrality/eigenvector.o vendor/cigraph/src/centrality/hub_authority.o vendor/cigraph/src/centrality/pagerank.o vendor/cigraph/src/centrality/prpack.o vendor/cigraph/src/centrality/prpack/prpack_base_graph.o vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.o vendor/cigraph/src/centrality/prpack/prpack_result.o vendor/cigraph/src/centrality/prpack/prpack_solver.o vendor/cigraph/src/centrality/prpack/prpack_utils.o vendor/cigraph/src/centrality/truss.o vendor/cigraph/src/cliques/cliquer/cliquer.o vendor/cigraph/src/cliques/cliquer/cliquer_graph.o vendor/cigraph/src/cliques/cliquer/reorder.o vendor/cigraph/src/cliques/cliquer_wrapper.o vendor/cigraph/src/cliques/cliques.o vendor/cigraph/src/cliques/glet.o vendor/cigraph/src/cliques/maximal_cliques.o vendor/cigraph/src/community/community_misc.o vendor/cigraph/src/community/edge_betweenness.o vendor/cigraph/src/community/fast_modularity.o vendor/cigraph/src/community/fluid.o vendor/cigraph/src/community/infomap/infomap.o vendor/cigraph/src/community/infomap/infomap_FlowGraph.o vendor/cigraph/src/community/infomap/infomap_Greedy.o vendor/cigraph/src/community/label_propagation.o vendor/cigraph/src/community/leading_eigenvector.o vendor/cigraph/src/community/leiden.o vendor/cigraph/src/community/louvain.o vendor/cigraph/src/community/modularity.o vendor/cigraph/src/community/optimal_modularity.o vendor/cigraph/src/community/spinglass/NetDataTypes.o vendor/cigraph/src/community/spinglass/NetRoutines.o vendor/cigraph/src/community/spinglass/clustertool.o vendor/cigraph/src/community/spinglass/pottsmodel_2.o vendor/cigraph/src/community/voronoi.o vendor/cigraph/src/community/walktrap/walktrap.o vendor/cigraph/src/community/walktrap/walktrap_communities.o vendor/cigraph/src/community/walktrap/walktrap_graph.o vendor/cigraph/src/community/walktrap/walktrap_heap.o vendor/cigraph/src/connectivity/cohesive_blocks.o vendor/cigraph/src/connectivity/components.o vendor/cigraph/src/connectivity/percolation.o vendor/cigraph/src/connectivity/reachability.o vendor/cigraph/src/connectivity/separators.o vendor/cigraph/src/constructors/adjacency.o vendor/cigraph/src/constructors/atlas.o vendor/cigraph/src/constructors/basic_constructors.o vendor/cigraph/src/constructors/circulant.o vendor/cigraph/src/constructors/de_bruijn.o vendor/cigraph/src/constructors/famous.o vendor/cigraph/src/constructors/full.o vendor/cigraph/src/constructors/generalized_petersen.o vendor/cigraph/src/constructors/kautz.o vendor/cigraph/src/constructors/lattices.o vendor/cigraph/src/constructors/lcf.o vendor/cigraph/src/constructors/linegraph.o vendor/cigraph/src/constructors/mycielskian.o vendor/cigraph/src/constructors/prufer.o vendor/cigraph/src/constructors/regular.o vendor/cigraph/src/constructors/trees.o vendor/cigraph/src/core/array.o vendor/cigraph/src/core/bitset.o vendor/cigraph/src/core/bitset_list.o vendor/cigraph/src/core/buckets.o vendor/cigraph/src/core/cutheap.o vendor/cigraph/src/core/dqueue.o vendor/cigraph/src/core/error.o vendor/cigraph/src/core/estack.o vendor/cigraph/src/core/fixed_vectorlist.o vendor/cigraph/src/core/genheap.o vendor/cigraph/src/core/grid.o vendor/cigraph/src/core/heap.o vendor/cigraph/src/core/indheap.o vendor/cigraph/src/core/interruption.o vendor/cigraph/src/core/marked_queue.o vendor/cigraph/src/core/matrix.o vendor/cigraph/src/core/matrix_list.o vendor/cigraph/src/core/memory.o vendor/cigraph/src/core/printing.o vendor/cigraph/src/core/progress.o vendor/cigraph/src/core/psumtree.o vendor/cigraph/src/core/set.o vendor/cigraph/src/core/sparsemat.o vendor/cigraph/src/core/stack.o vendor/cigraph/src/core/statusbar.o vendor/cigraph/src/core/strvector.o vendor/cigraph/src/core/trie.o vendor/cigraph/src/core/vector.o vendor/cigraph/src/core/vector_list.o vendor/cigraph/src/core/vector_ptr.o vendor/cigraph/src/cycles/simple_cycles.o vendor/cigraph/src/flow/flow.o vendor/cigraph/src/flow/flow_conversion.o vendor/cigraph/src/flow/st-cuts.o vendor/cigraph/src/games/barabasi.o vendor/cigraph/src/games/callaway_traits.o vendor/cigraph/src/games/chung_lu.o vendor/cigraph/src/games/citations.o vendor/cigraph/src/games/correlated.o vendor/cigraph/src/games/degree_sequence.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.o vendor/cigraph/src/games/dotproduct.o vendor/cigraph/src/games/erdos_renyi.o vendor/cigraph/src/games/establishment.o vendor/cigraph/src/games/forestfire.o vendor/cigraph/src/games/grg.o vendor/cigraph/src/games/growing_random.o vendor/cigraph/src/games/islands.o vendor/cigraph/src/games/k_regular.o vendor/cigraph/src/games/preference.o vendor/cigraph/src/games/recent_degree.o vendor/cigraph/src/games/sbm.o vendor/cigraph/src/games/static_fitness.o vendor/cigraph/src/games/tree.o vendor/cigraph/src/games/watts_strogatz.o vendor/cigraph/src/graph/adjlist.o vendor/cigraph/src/graph/attributes.o vendor/cigraph/src/graph/basic_query.o vendor/cigraph/src/graph/caching.o vendor/cigraph/src/graph/cattributes.o vendor/cigraph/src/graph/graph_list.o vendor/cigraph/src/graph/iterators.o vendor/cigraph/src/graph/type_common.o vendor/cigraph/src/graph/type_indexededgelist.o vendor/cigraph/src/graph/visitors.o vendor/cigraph/src/hrg/hrg.o vendor/cigraph/src/hrg/hrg_types.o vendor/cigraph/src/internal/glpk_support.o vendor/cigraph/src/internal/hacks.o vendor/cigraph/src/internal/lsap.o vendor/cigraph/src/internal/qsort.o vendor/cigraph/src/internal/qsort_r.o vendor/cigraph/src/internal/utils.o vendor/cigraph/src/internal/zeroin.o vendor/cigraph/src/io/dimacs.o vendor/cigraph/src/io/dl.o vendor/cigraph/src/io/dot.o vendor/cigraph/src/io/edgelist.o vendor/cigraph/src/io/gml-tree.o vendor/cigraph/src/io/gml.o vendor/cigraph/src/io/graphdb.o vendor/cigraph/src/io/graphml.o vendor/cigraph/src/io/leda.o vendor/cigraph/src/io/lgl.o vendor/cigraph/src/io/ncol.o vendor/cigraph/src/io/pajek.o vendor/cigraph/src/io/parse_utils.o vendor/cigraph/src/isomorphism/bliss.o vendor/cigraph/src/isomorphism/bliss/defs.o vendor/cigraph/src/isomorphism/bliss/graph.o vendor/cigraph/src/isomorphism/bliss/heap.o vendor/cigraph/src/isomorphism/bliss/orbit.o vendor/cigraph/src/isomorphism/bliss/partition.o vendor/cigraph/src/isomorphism/bliss/uintseqhash.o vendor/cigraph/src/isomorphism/bliss/utils.o vendor/cigraph/src/isomorphism/isoclasses.o vendor/cigraph/src/isomorphism/isomorphism_misc.o vendor/cigraph/src/isomorphism/lad.o vendor/cigraph/src/isomorphism/queries.o vendor/cigraph/src/isomorphism/vf2.o vendor/cigraph/src/layout/align.o vendor/cigraph/src/layout/circular.o vendor/cigraph/src/layout/davidson_harel.o vendor/cigraph/src/layout/drl/DensityGrid.o vendor/cigraph/src/layout/drl/DensityGrid_3d.o vendor/cigraph/src/layout/drl/drl_graph.o vendor/cigraph/src/layout/drl/drl_graph_3d.o vendor/cigraph/src/layout/drl/drl_layout.o vendor/cigraph/src/layout/drl/drl_layout_3d.o vendor/cigraph/src/layout/drl/drl_parse.o vendor/cigraph/src/layout/fruchterman_reingold.o vendor/cigraph/src/layout/gem.o vendor/cigraph/src/layout/graphopt.o vendor/cigraph/src/layout/kamada_kawai.o vendor/cigraph/src/layout/large_graph.o vendor/cigraph/src/layout/layout_bipartite.o vendor/cigraph/src/layout/layout_grid.o vendor/cigraph/src/layout/layout_random.o vendor/cigraph/src/layout/mds.o vendor/cigraph/src/layout/merge_dla.o vendor/cigraph/src/layout/merge_grid.o vendor/cigraph/src/layout/reingold_tilford.o vendor/cigraph/src/layout/sugiyama.o vendor/cigraph/src/layout/umap.o vendor/cigraph/src/linalg/arpack.o vendor/cigraph/src/linalg/blas.o vendor/cigraph/src/linalg/eigen.o vendor/cigraph/src/linalg/lapack.o vendor/cigraph/src/math/complex.o vendor/cigraph/src/math/safe_intop.o vendor/cigraph/src/math/utils.o vendor/cigraph/src/misc/bipartite.o vendor/cigraph/src/misc/chordality.o vendor/cigraph/src/misc/cocitation.o vendor/cigraph/src/misc/coloring.o vendor/cigraph/src/misc/conversion.o vendor/cigraph/src/misc/cycle_bases.o vendor/cigraph/src/misc/degree_sequence.o vendor/cigraph/src/misc/embedding.o vendor/cigraph/src/misc/feedback_arc_set.o vendor/cigraph/src/misc/graphicality.o vendor/cigraph/src/misc/matching.o vendor/cigraph/src/misc/microscopic_update.o vendor/cigraph/src/misc/mixing.o vendor/cigraph/src/misc/motifs.o vendor/cigraph/src/misc/order_cycle.o vendor/cigraph/src/misc/other.o vendor/cigraph/src/misc/power_law_fit.o vendor/cigraph/src/misc/scan.o vendor/cigraph/src/misc/sir.o vendor/cigraph/src/misc/spanning_trees.o vendor/cigraph/src/operators/add_edge.o vendor/cigraph/src/operators/complementer.o vendor/cigraph/src/operators/compose.o vendor/cigraph/src/operators/connect_neighborhood.o vendor/cigraph/src/operators/contract.o vendor/cigraph/src/operators/difference.o vendor/cigraph/src/operators/disjoint_union.o vendor/cigraph/src/operators/intersection.o vendor/cigraph/src/operators/join.o vendor/cigraph/src/operators/misc_internal.o vendor/cigraph/src/operators/permute.o vendor/cigraph/src/operators/products.o vendor/cigraph/src/operators/reverse.o vendor/cigraph/src/operators/rewire.o vendor/cigraph/src/operators/rewire_edges.o vendor/cigraph/src/operators/simplify.o vendor/cigraph/src/operators/subgraph.o vendor/cigraph/src/operators/union.o vendor/cigraph/src/paths/all_shortest_paths.o vendor/cigraph/src/paths/astar.o vendor/cigraph/src/paths/bellman_ford.o vendor/cigraph/src/paths/dijkstra.o vendor/cigraph/src/paths/distances.o vendor/cigraph/src/paths/eulerian.o vendor/cigraph/src/paths/floyd_warshall.o vendor/cigraph/src/paths/histogram.o vendor/cigraph/src/paths/johnson.o vendor/cigraph/src/paths/random_walk.o vendor/cigraph/src/paths/shortest_paths.o vendor/cigraph/src/paths/simple_paths.o vendor/cigraph/src/paths/sparsifier.o vendor/cigraph/src/paths/unweighted.o vendor/cigraph/src/paths/voronoi.o vendor/cigraph/src/paths/widest_paths.o vendor/cigraph/src/properties/basic_properties.o vendor/cigraph/src/properties/complete.o vendor/cigraph/src/properties/constraint.o vendor/cigraph/src/properties/convergence_degree.o vendor/cigraph/src/properties/dag.o vendor/cigraph/src/properties/degrees.o vendor/cigraph/src/properties/ecc.o vendor/cigraph/src/properties/girth.o vendor/cigraph/src/properties/loops.o vendor/cigraph/src/properties/multiplicity.o vendor/cigraph/src/properties/neighborhood.o vendor/cigraph/src/properties/perfect.o vendor/cigraph/src/properties/rich_club.o vendor/cigraph/src/properties/spectral.o vendor/cigraph/src/properties/trees.o vendor/cigraph/src/properties/triangles.o vendor/cigraph/src/random/random.o vendor/cigraph/src/random/rng_glibc2.o vendor/cigraph/src/random/rng_mt19937.o vendor/cigraph/src/random/rng_pcg32.o vendor/cigraph/src/random/rng_pcg64.o vendor/cigraph/src/version.o vendor/cigraph/vendor/cs/cs_add.o vendor/cigraph/vendor/cs/cs_amd.o vendor/cigraph/vendor/cs/cs_chol.o vendor/cigraph/vendor/cs/cs_cholsol.o vendor/cigraph/vendor/cs/cs_compress.o vendor/cigraph/vendor/cs/cs_counts.o vendor/cigraph/vendor/cs/cs_cumsum.o vendor/cigraph/vendor/cs/cs_dfs.o vendor/cigraph/vendor/cs/cs_dmperm.o vendor/cigraph/vendor/cs/cs_droptol.o vendor/cigraph/vendor/cs/cs_dropzeros.o vendor/cigraph/vendor/cs/cs_dupl.o vendor/cigraph/vendor/cs/cs_entry.o vendor/cigraph/vendor/cs/cs_ereach.o vendor/cigraph/vendor/cs/cs_etree.o vendor/cigraph/vendor/cs/cs_fkeep.o vendor/cigraph/vendor/cs/cs_gaxpy.o vendor/cigraph/vendor/cs/cs_happly.o vendor/cigraph/vendor/cs/cs_house.o vendor/cigraph/vendor/cs/cs_ipvec.o vendor/cigraph/vendor/cs/cs_leaf.o vendor/cigraph/vendor/cs/cs_load.o vendor/cigraph/vendor/cs/cs_lsolve.o vendor/cigraph/vendor/cs/cs_ltsolve.o vendor/cigraph/vendor/cs/cs_lu.o vendor/cigraph/vendor/cs/cs_lusol.o vendor/cigraph/vendor/cs/cs_malloc.o vendor/cigraph/vendor/cs/cs_maxtrans.o vendor/cigraph/vendor/cs/cs_multiply.o vendor/cigraph/vendor/cs/cs_norm.o vendor/cigraph/vendor/cs/cs_permute.o vendor/cigraph/vendor/cs/cs_pinv.o vendor/cigraph/vendor/cs/cs_post.o vendor/cigraph/vendor/cs/cs_print.o vendor/cigraph/vendor/cs/cs_pvec.o vendor/cigraph/vendor/cs/cs_qr.o vendor/cigraph/vendor/cs/cs_qrsol.o vendor/cigraph/vendor/cs/cs_randperm.o vendor/cigraph/vendor/cs/cs_reach.o vendor/cigraph/vendor/cs/cs_scatter.o vendor/cigraph/vendor/cs/cs_scc.o vendor/cigraph/vendor/cs/cs_schol.o vendor/cigraph/vendor/cs/cs_spsolve.o vendor/cigraph/vendor/cs/cs_sqr.o vendor/cigraph/vendor/cs/cs_symperm.o vendor/cigraph/vendor/cs/cs_tdfs.o vendor/cigraph/vendor/cs/cs_transpose.o vendor/cigraph/vendor/cs/cs_updown.o vendor/cigraph/vendor/cs/cs_usolve.o vendor/cigraph/vendor/cs/cs_util.o vendor/cigraph/vendor/cs/cs_utsolve.o vendor/cigraph/vendor/pcg/pcg-advance-128.o vendor/cigraph/vendor/pcg/pcg-advance-64.o vendor/cigraph/vendor/pcg/pcg-output-128.o vendor/cigraph/vendor/pcg/pcg-output-32.o vendor/cigraph/vendor/pcg/pcg-output-64.o vendor/cigraph/vendor/pcg/pcg-rngs-128.o vendor/cigraph/vendor/pcg/pcg-rngs-64.o vendor/cigraph/vendor/plfit/gss.o vendor/cigraph/vendor/plfit/hzeta.o vendor/cigraph/vendor/plfit/kolmogorov.o vendor/cigraph/vendor/plfit/lbfgs.o vendor/cigraph/vendor/plfit/mt.o vendor/cigraph/vendor/plfit/options.o vendor/cigraph/vendor/plfit/plfit.o vendor/cigraph/vendor/plfit/plfit_error.o vendor/cigraph/vendor/plfit/rbinom.o vendor/cigraph/vendor/plfit/sampling.o vendor/io/dl-lexer.o vendor/io/dl-parser.o vendor/io/gml-lexer.o vendor/io/gml-parser.o vendor/io/lgl-lexer.o vendor/io/lgl-parser.o vendor/io/ncol-lexer.o vendor/io/ncol-parser.o vendor/io/pajek-lexer.o vendor/io/pajek-parser.o vendor/simpleraytracer/Color.o vendor/simpleraytracer/Light.o vendor/simpleraytracer/Point.o vendor/simpleraytracer/Ray.o vendor/simpleraytracer/RayTracer.o vendor/simpleraytracer/RayVector.o vendor/simpleraytracer/Shape.o vendor/simpleraytracer/Sphere.o vendor/simpleraytracer/Triangle.o vendor/simpleraytracer/unit_limiter.o vendor/uuid/clear.o vendor/uuid/compare.o vendor/uuid/copy.o vendor/uuid/gen_uuid.o vendor/uuid/isnull.o vendor/uuid/pack.o vendor/uuid/parse.o vendor/uuid/unpack.o vendor/uuid/unparse.o rinterface.o rinterface_extra.o rrandom.o uuid.o cpp11.o cpprinterface.o init.o simpleraytracer.o vendor/cigraph/vendor/mini-gmp/mini-gmp.o -L/home/th798/.conda/envs/emacs1/lib -lxml2 -L/home/th798/.conda/envs/emacs1/lib -lz -L/home/th798/.conda/envs/emacs1/lib -llzma -lpthread -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib -licui18n -licuuc -licudata -lm -ldl -lglpk -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-igraph/00new/igraph/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (igraph) * installing *source* package 'httpuv' ... ** this is package 'httpuv' version '1.6.16' ** package 'httpuv' successfully unpacked and MD5 sums checked ** using staged installation ** Using bundled copy of libuv ** PKG_CFLAGS=-Ilibuv/include ** PKG_LIBS=./libuv/.libs/libuv.b ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callback.cpp -o callback.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c callbackqueue.cpp -o callbackqueue.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c filedatasource-unix.cpp -o filedatasource-unix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c filedatasource-win.cpp -o filedatasource-win.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fs.cpp -o fs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gzipdatasource.cpp -o gzipdatasource.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c http.cpp -o http.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c httprequest.cpp -o httprequest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c httpresponse.cpp -o httpresponse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c httpuv.cpp -o httpuv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mime.cpp -o mime.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c socket.cpp -o socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c staticpath.cpp -o staticpath.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.cpp -o thread.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c timegm.cpp -o timegm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uvutil.cpp -o uvutil.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c webapplication.cpp -o webapplication.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-base.cpp -o websockets-base.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-hixie76.cpp -o websockets-hixie76.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-hybi03.cpp -o websockets-hybi03.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets-ietf.cpp -o websockets-ietf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c websockets.cpp -o websockets.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winutils.cpp -o winutils.o cp -p -f libuv/m4/lt_obsolete.m4 libuv/m4/lt~obsolete.m4 ignoring -p /usr/bin/cp -f libuv/m4/lt_obsolete.m4 libuv/m4/lt~obsolete.m4 cd libuv; \ if ! command -v automake >/dev/null 2>&1 ; then \ echo "automake not found. Touching files so configure will not try to run automake."; \ touch aclocal.m4; \ touch -r aclocal.m4 configure Makefile.in; \ else \ echo "automake found. Running autoupdate and autogen.sh."; \ autoupdate; \ sh autogen.sh; \ fi; \ chmod +x configure; \ CC="/packages/gcc/12.2.0-nnbserq/bin/gcc" CFLAGS="-I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fpic -fvisibility=hidden -DNDEBUG" CPPFLAGS="-I/home/th798/.conda/envs/emacs1/include -I/home/th798/include" AR="ar" RANLIB="ranlib" LDFLAGS="-L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64" ./configure "--quiet" automake not found. Touching files so configure will not try to run automake. /usr/bin/cp .//depcomp conftest.dir make --directory=libuv \ HAVE_DTRACE=0 make[1]: Entering directory '/tmp/th798/27261227/RtmpSLfI1n/R.INSTALL2dda674cc056aa/httpuv/src/libuv' CC src/libuv_la-fs-poll.lo CC src/libuv_la-idna.lo CC src/libuv_la-inet.lo CC src/libuv_la-random.lo CC src/libuv_la-strscpy.lo CC src/libuv_la-threadpool.lo CC src/libuv_la-timer.lo CC src/libuv_la-uv-data-getter-setters.lo CC src/libuv_la-uv-common.lo CC src/libuv_la-version.lo CC src/unix/libuv_la-async.lo CC src/unix/libuv_la-core.lo CC src/unix/libuv_la-dl.lo CC src/unix/libuv_la-fs.lo CC src/unix/libuv_la-getaddrinfo.lo CC src/unix/libuv_la-getnameinfo.lo CC src/unix/libuv_la-loop-watcher.lo CC src/unix/libuv_la-loop.lo CC src/unix/libuv_la-pipe.lo CC src/unix/libuv_la-poll.lo CC src/unix/libuv_la-process.lo CC src/unix/libuv_la-random-devurandom.lo CC src/unix/libuv_la-signal.lo CC src/unix/libuv_la-stream.lo CC src/unix/libuv_la-tcp.lo CC src/unix/libuv_la-thread.lo CC src/unix/libuv_la-tty.lo CC src/unix/libuv_la-udp.lo CC src/unix/libuv_la-linux-core.lo CC src/unix/libuv_la-linux-inotify.lo CC src/unix/libuv_la-linux-syscalls.lo CC src/unix/libuv_la-procfs-exepath.lo CC src/unix/libuv_la-proctitle.lo CC src/unix/libuv_la-random-getrandom.lo CC src/unix/libuv_la-random-sysctl-linux.lo CC src/unix/libuv_la-epoll.lo CCLD libuv.la make[1]: Leaving directory '/tmp/th798/27261227/RtmpSLfI1n/R.INSTALL2dda674cc056aa/httpuv/src/libuv' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c http-parser/http_parser.c -o http-parser/http_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1/sha1.c -o sha1/sha1.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Ilibuv/include -pthread -I'/tmp/th798/27261227/R-release/841/library/later/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64/base64.cpp -o base64/base64.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o httpuv.so RcppExports.o callback.o callbackqueue.o filedatasource-unix.o filedatasource-win.o fs.o gzipdatasource.o http.o httprequest.o httpresponse.o httpuv.o md5.o mime.o socket.o staticpath.o thread.o timegm.o utils.o uvutil.o webapplication.o websockets-base.o websockets-hixie76.o websockets-hybi03.o websockets-ietf.o websockets.o winutils.o ./libuv/.libs/libuv.b ./http-parser/http_parser.o ./sha1/sha1.o ./base64/base64.o -pthread installing to /tmp/th798/27261227/R-release/841/library/00LOCK-httpuv/00new/httpuv/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httpuv) * installing *source* package 'mlr3measures' ... ** this is package 'mlr3measures' version '1.2.0' ** package 'mlr3measures' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3measures) * installing *source* package 'clock' ... ** this is package 'clock' version '0.7.4' ** package 'clock' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c duration.cpp -o duration.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c enums.cpp -o enums.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c format.cpp -o format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gregorian-year-day.cpp -o gregorian-year-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gregorian-year-month-day.cpp -o gregorian-year-month-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gregorian-year-month-weekday.cpp -o gregorian-year-month-weekday.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iso-year-week-day.cpp -o iso-year-week-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c limits.cpp -o limits.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c naive-time.cpp -o naive-time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quarterly-year-quarter-day.cpp -o quarterly-year-quarter-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rcrd.cpp -o rcrd.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sys-time.cpp -o sys-time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c time-point.cpp -o time-point.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c week-year-week-day.cpp -o week-year-week-day.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weekday.cpp -o weekday.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zone.cpp -o zone.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zoned-time.cpp -o zoned-time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o clock.so cpp11.o duration.o enums.o format.o gregorian-year-day.o gregorian-year-month-day.o gregorian-year-month-weekday.o iso-year-week-day.o limits.o naive-time.o quarterly-year-quarter-day.o rcrd.o sys-time.o time-point.o utils.o week-year-week-day.o weekday.o zone.o zoned-time.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-clock/00new/clock/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clock) * installing *source* package 'blob' ... ** this is package 'blob' version '1.3.0' ** package 'blob' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blob) * installing *source* package 'ids' ... ** this is package 'ids' version '1.0.1' ** package 'ids' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ids) * installing *source* package 'tidyselect' ... ** this is package 'tidyselect' version '1.2.1' ** package 'tidyselect' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyselect) * installing *source* package 'pillar' ... ** this is package 'pillar' version '1.11.1' ** package 'pillar' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pillar) * installing *source* package 'stringr' ... ** this is package 'stringr' version '1.6.0' ** package 'stringr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stringr) * installing *source* package 'gridExtra' ... ** this is package 'gridExtra' version '2.3' ** package 'gridExtra' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gridExtra) * installing *source* package 'httr' ... ** this is package 'httr' version '1.4.8' ** package 'httr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httr) * installing *source* package 'scoringRules' ... ** this is package 'scoringRules' version '1.1.3' ** package 'scoringRules' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mixn.cpp -o mixn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c procs_casestudy.cpp -o procs_casestudy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c procs_es.cpp -o procs_es.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o scoringRules.so RcppExports.o mixn.o procs_casestudy.o procs_es.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-scoringRules/00new/scoringRules/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scoringRules) * installing *source* package 'hms' ... ** this is package 'hms' version '1.1.4' ** package 'hms' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hms) * installing *source* package 'paradox' ... ** this is package 'paradox' version '1.0.1' ** package 'paradox' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paradox) * installing *source* package 'performance' ... ** this is package 'performance' version '0.16.0' ** package 'performance' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (performance) * installing *source* package 'tables' ... ** this is package 'tables' version '0.9.33' ** package 'tables' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tables) * installing *source* package 'sparsevctrs' ... ** this is package 'sparsevctrs' version '0.3.6' ** package 'sparsevctrs' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-double.c -o altrep-sparse-double.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-integer.c -o altrep-sparse-integer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-logical.c -o altrep-sparse-logical.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep-sparse-string.c -o altrep-sparse-string.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-arithmatic.c -o sparse-arithmatic.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-dummy.c -o sparse-dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-extractors.c -o sparse-extractors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse-utils.c -o sparse-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o sparsevctrs.so altrep-sparse-double.o altrep-sparse-integer.o altrep-sparse-logical.o altrep-sparse-string.o init.o sparse-arithmatic.o sparse-dummy.o sparse-extractors.o sparse-utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-sparsevctrs/00new/sparsevctrs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sparsevctrs) * installing *source* package 'bslib' ... ** this is package 'bslib' version '0.10.0' ** package 'bslib' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bslib) * installing *source* package 'downlit' ... ** this is package 'downlit' version '0.4.5' ** package 'downlit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (downlit) * installing *source* package 'httr2' ... ** this is package 'httr2' version '1.2.2' ** package 'httr2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httr2) * installing *source* package 'pkgbuild' ... ** this is package 'pkgbuild' version '1.4.8' ** package 'pkgbuild' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgbuild) * installing *source* package 'slider' ... ** this is package 'slider' version '0.3.3' ** package 'slider' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c block.c -o block.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hop.c -o hop.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c index.c -o index.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c params.c -o params.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c segment-tree.c -o segment-tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slide-period.c -o slide-period.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slide.c -o slide.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slider-vctrs-private.c -o slider-vctrs-private.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slider-vctrs-public.c -o slider-vctrs-public.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary-core-align.cpp -o summary-core-align.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary-index.c -o summary-index.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary-slide.c -o summary-slide.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/vctrs/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o slider.so block.o hop.o index.o init.o params.o segment-tree.o slide-period.o slide.o slider-vctrs-private.o slider-vctrs-public.o summary-core-align.o summary-index.o summary-slide.o utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-slider/00new/slider/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (slider) * installing *source* package 'textshaping' ... ** this is package 'textshaping' version '1.0.5' ** package 'textshaping' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib64 -lharfbuzz -lfreetype -lfribidi ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' rm -f textshaping.so cpp11.o face_feature.o hb_shaper.o init.o string_bidi.o string_metrics.o string_shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c face_feature.cpp -o face_feature.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hb_shaper.cpp -o hb_shaper.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_bidi.cpp -o string_bidi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_metrics.cpp -o string_metrics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DNDEBUG -I/home/th798/.conda/envs/emacs1/include/harfbuzz -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/glib-2.0 -I/home/th798/.conda/envs/emacs1/lib/glib-2.0/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include/fribidi -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_shape.cpp -o string_shape.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o textshaping.so cpp11.o face_feature.o hb_shaper.o init.o string_bidi.o string_metrics.o string_shape.o -L/home/th798/.conda/envs/emacs1/lib -L/home/th798/.conda/envs/emacs1/lib64 -lharfbuzz -lfreetype -lfribidi installing to /tmp/th798/27261227/R-release/841/library/00LOCK-textshaping/00new/textshaping/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (textshaping) * installing *source* package 'conflicted' ... ** this is package 'conflicted' version '1.2.0' ** package 'conflicted' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (conflicted) * installing *source* package 'DirichletReg' ... ** this is package 'DirichletReg' version '0.7-2' ** package 'DirichletReg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ddirichlet.c -o ddirichlet.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rdirichlet.c -o rdirichlet.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wght_LL.c -o wght_LL.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wght_LL_grad_alternative.c -o wght_LL_grad_alternative.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wght_LL_grad_common.c -o wght_LL_grad_common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DirichletReg.so ddirichlet.o init.o rdirichlet.o wght_LL.o wght_LL_grad_alternative.o wght_LL_grad_common.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-DirichletReg/00new/DirichletReg/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DirichletReg) * installing *source* package 'fixest' ... ** this is package 'fixest' version '0.13.2' ** package 'fixest' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collineairy.cpp -o collineairy.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c convergence.cpp -o convergence.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c demeaning.cpp -o demeaning.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dsb.cpp -o dsb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fixest_main.cpp -o fixest_main.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c index_fixed_effects.cpp -o index_fixed_effects.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lm_related.cpp -o lm_related.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc_funs.cpp -o misc_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parallel_funs.cpp -o parallel_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_funs.cpp -o string_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_index.cpp -o to_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vcov_related.cpp -o vcov_related.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fixest.so RcppExports.o collineairy.o convergence.o demeaning.o dsb.o fixest_main.o index_fixed_effects.o lm_related.o misc_funs.o parallel_funs.o string_funs.o to_index.o vcov_related.o -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-fixest/00new/fixest/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fixest) * installing *source* package 'fwb' ... ** this is package 'fwb' version '0.5.1' ** package 'fwb' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fwb) * installing *source* package 'ggplot2' ... ** this is package 'ggplot2' version '4.0.2' ** package 'ggplot2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggplot2) * installing *source* package 'lme4' ... ** this is package 'lme4' version '2.0-1' ** package 'lme4' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c external.cpp -o external.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glmFamily.cpp -o glmFamily.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optimizer.cpp -o optimizer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predModule.cpp -o predModule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DNDEBUG -DEIGEN_DONT_VECTORIZE -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c respModule.cpp -o respModule.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lme4.so external.o glmFamily.o optimizer.o predModule.o respModule.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-lme4/00new/lme4/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lme4) * installing *source* package 'MatchIt' ... ** this is package 'MatchIt' version '4.7.2' ** package 'MatchIt' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c all_equal_to.cpp -o all_equal_to.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c eucdistC.cpp -o eucdistC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c get_splitsC.cpp -o get_splitsC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c has_n_unique.cpp -o has_n_unique.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.cpp -o internal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_distmat.cpp -o nn_matchC_distmat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_distmat_closest.cpp -o nn_matchC_distmat_closest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_mahcovs.cpp -o nn_matchC_mahcovs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_mahcovs_closest.cpp -o nn_matchC_mahcovs_closest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_vec.cpp -o nn_matchC_vec.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nn_matchC_vec_closest.cpp -o nn_matchC_vec_closest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pairdistC.cpp -o pairdistC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c preprocess_matchC.cpp -o preprocess_matchC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subclass2mm.cpp -o subclass2mm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subclass_scootC.cpp -o subclass_scootC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tabulateC.cpp -o tabulateC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppProgress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c weights_matrixC.cpp -o weights_matrixC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o MatchIt.so RcppExports.o all_equal_to.o eucdistC.o get_splitsC.o has_n_unique.o internal.o nn_matchC_distmat.o nn_matchC_distmat_closest.o nn_matchC_mahcovs.o nn_matchC_mahcovs_closest.o nn_matchC_vec.o nn_matchC_vec_closest.o pairdistC.o preprocess_matchC.o subclass2mm.o subclass_scootC.o tabulateC.o weights_matrixC.o -fopenmp -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-MatchIt/00new/MatchIt/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MatchIt) * installing *source* package 'missRanger' ... ** this is package 'missRanger' version '2.6.1' ** package 'missRanger' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (missRanger) * installing *source* package 'mlogit' ... ** this is package 'mlogit' version '1.1-3' ** package 'mlogit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlogit) * installing *source* package 'parameters' ... ** this is package 'parameters' version '0.28.3' ** package 'parameters' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parameters) * installing *source* package 'partykit' ... ** this is package 'partykit' version '1.2-26' ** package 'partykit' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c partykit-init.c -o partykit-init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rfweights.c -o rfweights.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o partykit.so partykit-init.o rfweights.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-partykit/00new/partykit/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (partykit) * installing *source* package 'phylolm' ... ** this is package 'phylolm' version '2.6.5' ** package 'phylolm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logistreglikelihood.c -o logistreglikelihood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c registerDynamicSymbol.c -o registerDynamicSymbol.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c threepoint.c -o threepoint.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transbranchlengths.c -o transbranchlengths.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o phylolm.so logistreglikelihood.o registerDynamicSymbol.o threepoint.o transbranchlengths.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-phylolm/00new/phylolm/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phylolm) * installing *source* package 'plm' ... ** this is package 'plm' version '2.6-7' ** package 'plm' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plm) * installing *source* package 'purrr' ... ** this is package 'purrr' version '1.2.1' ** package 'purrr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c backports.c -o backports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coerce.c -o coerce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c conditions.c -o conditions.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c every-some-none.c -o every-some-none.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flatten.c -o flatten.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c map.c -o map.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pluck.c -o pluck.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cli/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o purrr.so backports.o cleancall.o coerce.o conditions.o every-some-none.o flatten.o init.o map.o pluck.o transpose.o utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-purrr/00new/purrr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (purrr) * installing *source* package 'robust' ... ** this is package 'robust' version '0.7-5' ** package 'robust' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c compatibility.c -o compatibility.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c gamrob.f -o gamrob.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c glmrob.f -o glmrob.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobbi.f -o lmrobbi.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobfs.f -o lmrobfs.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobml.f -o lmrobml.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lmrobmm.f -o lmrobmm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mmprnt.c -o mmprnt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rb.c -o rb.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tdmean.f -o tdmean.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c tmlfor.f -o tmlfor.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c wblrob.f -o wblrob.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o robust.so compatibility.o gamrob.o glmrob.o lmrobbi.o lmrobfs.o lmrobml.o lmrobmm.o mmprnt.o rb.o tdmean.o tmlfor.o wblrob.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-robust/00new/robust/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robust) * installing *source* package 'spelling' ... ** this is package 'spelling' version '2.3.2' ** package 'spelling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spelling) * installing *source* package 'truncreg' ... ** this is package 'truncreg' version '0.2-5' ** package 'truncreg' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (truncreg) * installing *source* package 'forecast' ... ** this is package 'forecast' version '9.0.1' ** package 'forecast' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c calcBATS.cpp -o calcBATS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c calcTBATS.cpp -o calcTBATS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etsTargetFunction.cpp -o etsTargetFunction.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etsTargetFunctionWrapper.cpp -o etsTargetFunctionWrapper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etscalc.c -o etscalc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c etspolyroot.c -o etspolyroot.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c makeBATSMatrices.cpp -o makeBATSMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c makeTBATSMatrices.cpp -o makeTBATSMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updateMatrices.cpp -o updateMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DR_NO_REMAP -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c updateTBATSMatrices.cpp -o updateTBATSMatrices.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o forecast.so RcppExports.o calcBATS.o calcTBATS.o etsTargetFunction.o etsTargetFunctionWrapper.o etscalc.o etspolyroot.o makeBATSMatrices.o makeTBATSMatrices.o updateMatrices.o updateTBATSMatrices.o -fopenmp -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-forecast/00new/forecast/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (forecast) * installing *source* package 'prodlim' ... ** this is package 'prodlim' version '2025.04.28' ** package 'prodlim' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GMLE.c -o GMLE.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c IntIndex.c -o IntIndex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icens_prodlim.c -o icens_prodlim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c icens_prodlim_ml.c -o icens_prodlim_ml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iindex.c -o iindex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c life_table.c -o life_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loo.c -o loo.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c neighborhood.c -o neighborhood.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predict.c -o predict.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c predict_individual_survival.c -o predict_individual_survival.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim.c -o prodlim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_clustersurv.c -o prodlim_clustersurv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_comprisk.c -o prodlim_comprisk.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_multistates.c -o prodlim_multistates.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prodlim_surv.c -o prodlim_surv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sindex.c -o sindex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summary_prodlim.c -o summary_prodlim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o prodlim.so GMLE.o IntIndex.o icens_prodlim.o icens_prodlim_ml.o iindex.o init.o life_table.o loo.o neighborhood.o predict.o predict_individual_survival.o prodlim.o prodlim_clustersurv.o prodlim_comprisk.o prodlim_multistates.o prodlim_surv.o sindex.o summary_prodlim.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-prodlim/00new/prodlim/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prodlim) * installing *source* package 'ggridges' ... ** this is package 'ggridges' version '0.5.7' ** package 'ggridges' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggridges) * installing *source* package 'iBreakDown' ... ** this is package 'iBreakDown' version '2.1.2' ** package 'iBreakDown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iBreakDown) * installing *source* package 'ingredients' ... ** this is package 'ingredients' version '2.3.0' ** package 'ingredients' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ingredients) * installing *source* package 'kernelshap' ... ** this is package 'kernelshap' version '0.9.1' ** package 'kernelshap' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kernelshap) * installing *source* package 'pkgload' ... ** this is package 'pkgload' version '1.5.0' ** package 'pkgload' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgload) * installing *source* package 'viridis' ... ** this is package 'viridis' version '0.6.5' ** package 'viridis' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (viridis) * installing *source* package 'gargle' ... ** this is package 'gargle' version '1.6.1' ** package 'gargle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gargle) * installing *source* package 'progress' ... ** this is package 'progress' version '1.2.3' ** package 'progress' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (progress) * installing *source* package 'selectr' ... ** this is package 'selectr' version '0.5-1' ** package 'selectr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (selectr) * installing *source* package 'reshape2' ... ** this is package 'reshape2' version '1.4.5' ** package 'reshape2' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c melt.cpp -o melt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o reshape2.so RcppExports.o melt.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-reshape2/00new/reshape2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reshape2) * installing *source* package 'bridgesampling' ... ** this is package 'bridgesampling' version '1.2-1' ** package 'bridgesampling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bridgesampling) * installing *source* package 'shiny' ... ** this is package 'shiny' version '1.13.0' ** package 'shiny' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shiny) * installing *source* package 'PairedData' ... ** this is package 'PairedData' version '1.1.1' ** package 'PairedData' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading Creating a new generic function for 'summary' in package 'PairedData' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PairedData) * installing *source* package 'ggparty' ... ** this is package 'ggparty' version '1.0.0.1' ** package 'ggparty' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggparty) * installing *source* package 'cowplot' ... ** this is package 'cowplot' version '1.2.0' ** package 'cowplot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cowplot) * installing *source* package 'mlr3' ... ** this is package 'mlr3' version '1.5.0' ** package 'mlr3' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3) * installing *source* package 'bbotk' ... ** this is package 'bbotk' version '1.9.0' ** package 'bbotk' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_dominated.c -o is_dominated.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c local_search.c -o local_search.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rc_helpers.c -o rc_helpers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test_local_search.c -o test_local_search.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bbotk.so init.o is_dominated.o local_search.o rc_helpers.o test_local_search.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-bbotk/00new/bbotk/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bbotk) * installing *source* package 'ragg' ... ** this is package 'ragg' version '1.5.1' ** package 'ragg' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lfreetype -lpng16 -lz -ltiff -ljpeg -lwebpmux -lwebp ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c capture_dev.cpp -o capture_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jpeg_dev.cpp -o jpeg_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c png_dev.cpp -o png_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ppm_dev.cpp -o ppm_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c record_dev.cpp -o record_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tiff_dev.cpp -o tiff_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c webp_anim_dev.cpp -o webp_anim_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c webp_dev.cpp -o webp_dev.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_curves.cpp -o agg/src/agg_curves.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_font_freetype.cpp -o agg/src/agg_font_freetype.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_image_filters.cpp -o agg/src/agg_image_filters.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_trans_affine.cpp -o agg/src/agg_trans_affine.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_vcgen_dash.cpp -o agg/src/agg_vcgen_dash.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./agg/include -I/home/th798/.conda/envs/emacs1/include/freetype2 -I/home/th798/.conda/envs/emacs1/include/libpng16 -I/home/th798/.conda/envs/emacs1/include -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c agg/src/agg_vcgen_stroke.cpp -o agg/src/agg_vcgen_stroke.o ar rcs agg/libstatagg.a agg/src/agg_curves.o agg/src/agg_font_freetype.o agg/src/agg_image_filters.o agg/src/agg_trans_affine.o agg/src/agg_vcgen_dash.o agg/src/agg_vcgen_stroke.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ragg.so capture_dev.o init.o jpeg_dev.o png_dev.o ppm_dev.o record_dev.o tiff_dev.o webp_anim_dev.o webp_dev.o -Lagg -lstatagg -L/home/th798/.conda/envs/emacs1/lib -lfreetype -lpng16 -lz -ltiff -ljpeg -lwebpmux -lwebp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ragg/00new/ragg/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ragg) * installing *source* package 'furrr' ... ** this is package 'furrr' version '0.3.1' ** package 'furrr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (furrr) * installing *source* package 'arrow' ... ** this is package 'arrow' version '23.0.1.1' ** package 'arrow' successfully unpacked and MD5 sums checked ** using staged installation *** pkg-config found. *** OpenSSL found but version >= 3.0 is required *** Found local C++ source: 'tools/cpp' *** Building libarrow from source For build options and troubleshooting, see the install guide: https://arrow.apache.org/docs/r/articles/install.html **** Not using cmake found at /home/th798/.conda/envs/emacs1/bin/cmake ***** Version >= 3.26 required; found 3.22.1 **** cmake 3.26.5: /usr/bin/cmake3 **** arrow **** Error building Arrow C++. **** Printing contents of build log because the build failed while ARROW_R_DEV was set to FALSE ++ pwd + : /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow + : tools/cpp + : /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b + : libarrow/arrow-23.0.1 + : /usr/bin/cmake3 ++ cd tools/cpp ++ pwd + SOURCE_DIR=/tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/tools/cpp ++ mkdir -p libarrow/arrow-23.0.1 ++ cd libarrow/arrow-23.0.1 ++ pwd + DEST_DIR=/tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/libarrow/arrow-23.0.1 + '[' 2 = '' ']' + '[' '' '!=' '' ']' + '[' '' = false ']' + ARROW_DEFAULT_PARAM=OFF + case "$CXX" in + mkdir -p /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b + pushd /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow + /usr/bin/cmake3 -DARROW_BOOST_USE_SHARED=OFF -DARROW_SNAPPY_USE_SHARED=OFF -DARROW_BUILD_TESTS=OFF -DARROW_BUILD_SHARED=OFF -DARROW_BUILD_STATIC=ON -DARROW_ACERO=ON -DARROW_COMPUTE=ON -DARROW_CSV=ON -DARROW_DATASET=ON -DARROW_DEPENDENCY_SOURCE=AUTO -DAWSSDK_SOURCE= -DBoost_SOURCE= -Dlz4_SOURCE= -DARROW_FILESYSTEM=ON -DARROW_GCS=OFF -DARROW_JEMALLOC=OFF -DARROW_MIMALLOC=ON -DARROW_JSON=ON -DARROW_PARQUET=ON -DARROW_S3=OFF -DARROW_WITH_BROTLI=OFF -DARROW_WITH_BZ2=OFF -DARROW_WITH_LZ4=ON -DARROW_WITH_RE2=ON -DARROW_WITH_SNAPPY=ON -DARROW_WITH_UTF8PROC=ON -DARROW_WITH_ZLIB=OFF -DARROW_WITH_ZSTD=OFF -DARROW_VERBOSE_THIRDPARTY_BUILD=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_FIND_DEBUG_MODE=OFF -DCMAKE_INSTALL_LIBDIR=lib -DCMAKE_INSTALL_PREFIX=/tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/libarrow/arrow-23.0.1 -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_UNITY_BUILD=OFF -DOPENSSL_ROOT_DIR=/home/th798/.conda/envs/emacs1 -Dre2_SOURCE=BUNDLED -Dabsl_SOURCE=BUNDLED -Dxsimd_SOURCE= -Dzstd_SOURCE= -G 'Unix Makefiles' /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/tools/cpp -- Building using CMake version: 3.26.5 -- The C compiler identification is GNU 12.2.0 -- The CXX compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /packages/gcc/12.2.0-nnbserq/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Arrow version: 23.0.1 (full: '23.0.1') -- Arrow SO version: 2300 (full: 2300.1.0) -- clang-tidy 18 not found -- clang-format 18 not found -- Could NOT find ClangTools (missing: CLANG_FORMAT_BIN CLANG_TIDY_BIN) -- infer not found -- Found Python3: /usr/bin/python3.11 (found version "3.11.13") found components: Interpreter fatal: not a git repository (or any parent up to mount point /) Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set). -- System processor: x86_64 -- Performing Test CXX_SUPPORTS_SSE4_2 -- Performing Test CXX_SUPPORTS_SSE4_2 - Success -- Performing Test CXX_SUPPORTS_AVX2 -- Performing Test CXX_SUPPORTS_AVX2 - Success -- Performing Test CXX_SUPPORTS_AVX512 -- Performing Test CXX_SUPPORTS_AVX512 - Success -- Arrow build warning level: PRODUCTION -- Build Type: Release -- Performing Test CXX_LINKER_SUPPORTS_VERSION_SCRIPT -- Performing Test CXX_LINKER_SUPPORTS_VERSION_SCRIPT - Success -- Using AUTO approach to find dependencies -- ARROW_ABSL_BUILD_VERSION: 20211102.0 -- ARROW_ABSL_BUILD_SHA256_CHECKSUM: dcf71b9cba8dc0ca9940c4b316a0c796be8fab42b070bb6b7cab62b48f0e66c4 -- ARROW_AWS_C_AUTH_BUILD_VERSION: v0.9.0 -- ARROW_AWS_C_AUTH_BUILD_SHA256_CHECKSUM: aa6e98864fefb95c249c100da4ae7aed36ba13a8a91415791ec6fad20bec0427 -- ARROW_AWS_C_CAL_BUILD_VERSION: v0.9.2 -- ARROW_AWS_C_CAL_BUILD_SHA256_CHECKSUM: f9f3bc6a069e2efe25fcdf73e4d2b16b5608c327d2eb57c8f7a8524e9e1fcad0 -- ARROW_AWS_C_COMMON_BUILD_VERSION: v0.12.4 -- ARROW_AWS_C_COMMON_BUILD_SHA256_CHECKSUM: 0b7705a4d115663c3f485d353a75ed86e37583157585e5825d851af634b57fe3 -- ARROW_AWS_C_COMPRESSION_BUILD_VERSION: v0.3.1 -- ARROW_AWS_C_COMPRESSION_BUILD_SHA256_CHECKSUM: d89fca17a37de762dc34f332d2da402343078da8dbd2224c46a11a88adddf754 -- ARROW_AWS_C_EVENT_STREAM_BUILD_VERSION: v0.5.4 -- ARROW_AWS_C_EVENT_STREAM_BUILD_SHA256_CHECKSUM: cef8b78e362836d15514110fb43a0a0c7a86b0a210d5fe25fd248a82027a7272 -- ARROW_AWS_C_HTTP_BUILD_VERSION: v0.10.2 -- ARROW_AWS_C_HTTP_BUILD_SHA256_CHECKSUM: 048d9d683459ade363fd7cc448c2b6329c78f67a2a0c0cb61c16de4634a2fc6b -- ARROW_AWS_C_IO_BUILD_VERSION: v0.19.1 -- ARROW_AWS_C_IO_BUILD_SHA256_CHECKSUM: f2fea0c066924f7fe3c2b1c7b2fa9be640f5b16a6514854226330e63a1faacd0 -- ARROW_AWS_C_MQTT_BUILD_VERSION: v0.13.1 -- ARROW_AWS_C_MQTT_BUILD_SHA256_CHECKSUM: c54d02c1e46f55bae8d5e6f9c4b0d78d84c1c9d9ac16ba8d78c3361edcd8b5bb -- ARROW_AWS_C_S3_BUILD_VERSION: v0.8.1 -- ARROW_AWS_C_S3_BUILD_SHA256_CHECKSUM: c8b09780691d2b94e50d101c68f01fa2d1c3debb0ff3aed313d93f0d3c9af663 -- ARROW_AWS_C_SDKUTILS_BUILD_VERSION: v0.2.4 -- ARROW_AWS_C_SDKUTILS_BUILD_SHA256_CHECKSUM: 493cbed4fa57e0d4622fcff044e11305eb4fc12445f32c8861025597939175fc -- ARROW_AWS_CHECKSUMS_BUILD_VERSION: v0.2.7 -- ARROW_AWS_CHECKSUMS_BUILD_SHA256_CHECKSUM: 178e8398d98111f29150f7813a70c20ad97ab30be0de02525440355fe84ccb1d -- ARROW_AWS_CRT_CPP_BUILD_VERSION: v0.32.8 -- ARROW_AWS_CRT_CPP_BUILD_SHA256_CHECKSUM: db44260452a0296341fb8e7b987e4c328f08f7829b9f1c740fed9c963e081e93 -- ARROW_AWS_LC_BUILD_VERSION: v1.52.1 -- ARROW_AWS_LC_BUILD_SHA256_CHECKSUM: fe552e3c3522f73afc3c30011745c431c633f7b4e25dcd7b38325f194a7b3b75 -- ARROW_AWSSDK_BUILD_VERSION: 1.11.587 -- ARROW_AWSSDK_BUILD_SHA256_CHECKSUM: b9944ba9905a68d6e53abb4f36ab2b3bd18ac88d8571647bb9f2b8026b76f8cd -- ARROW_AZURE_SDK_BUILD_VERSION: azure-identity_1.9.0 -- ARROW_AZURE_SDK_BUILD_SHA256_CHECKSUM: 97065bfc971ac8df450853ce805f820f52b59457bd7556510186a1569502e4a1 -- ARROW_BOOST_BUILD_VERSION: 1.88.0 -- ARROW_BOOST_BUILD_SHA256_CHECKSUM: dcea50f40ba1ecfc448fdf886c0165cf3e525fef2c9e3e080b9804e8117b9694 -- ARROW_BROTLI_BUILD_VERSION: v1.0.9 -- ARROW_BROTLI_BUILD_SHA256_CHECKSUM: f9e8d81d0405ba66d181529af42a3354f838c939095ff99930da6aa9cdf6fe46 -- ARROW_BZIP2_BUILD_VERSION: 1.0.8 -- ARROW_BZIP2_BUILD_SHA256_CHECKSUM: ab5a03176ee106d3f0fa90e381da478ddae405918153cca248e682cd0c4a2269 -- ARROW_CARES_BUILD_VERSION: 1.17.2 -- ARROW_CARES_BUILD_SHA256_CHECKSUM: 4803c844ce20ce510ef0eb83f8ea41fa24ecaae9d280c468c582d2bb25b3913d -- ARROW_CRC32C_BUILD_VERSION: 1.1.2 -- ARROW_CRC32C_BUILD_SHA256_CHECKSUM: ac07840513072b7fcebda6e821068aa04889018f24e10e46181068fb214d7e56 -- ARROW_GBENCHMARK_BUILD_VERSION: v1.8.3 -- ARROW_GBENCHMARK_BUILD_SHA256_CHECKSUM: 6bc180a57d23d4d9515519f92b0c83d61b05b5bab188961f36ac7b06b0d9e9ce -- ARROW_GFLAGS_BUILD_VERSION: v2.2.2 -- ARROW_GFLAGS_BUILD_SHA256_CHECKSUM: 34af2f15cf7367513b352bdcd2493ab14ce43692d2dcd9dfc499492966c64dcf -- ARROW_GLOG_BUILD_VERSION: v0.5.0 -- ARROW_GLOG_BUILD_SHA256_CHECKSUM: eede71f28371bf39aa69b45de23b329d37214016e2055269b3b5e7cfd40b59f5 -- ARROW_GOOGLE_CLOUD_CPP_BUILD_VERSION: v2.22.0 -- ARROW_GOOGLE_CLOUD_CPP_BUILD_SHA256_CHECKSUM: 0c68782e57959c82e0c81def805c01460a042c1aae0c2feee905acaa2a2dc9bf -- ARROW_GRPC_BUILD_VERSION: v1.46.3 -- ARROW_GRPC_BUILD_SHA256_CHECKSUM: d6cbf22cb5007af71b61c6be316a79397469c58c82a942552a62e708bce60964 -- ARROW_GTEST_BUILD_VERSION: 1.17.0 -- ARROW_GTEST_BUILD_SHA256_CHECKSUM: 65fab701d9829d38cb77c14acdc431d2108bfdbf8979e40eb8ae567edf10b27c -- ARROW_JEMALLOC_BUILD_VERSION: 5.3.0 -- ARROW_JEMALLOC_BUILD_SHA256_CHECKSUM: 2db82d1e7119df3e71b7640219b6dfe84789bc0537983c3b7ac4f7189aecfeaa -- ARROW_LZ4_BUILD_VERSION: v1.10.0 -- ARROW_LZ4_BUILD_SHA256_CHECKSUM: 537512904744b35e232912055ccf8ec66d768639ff3abe5788d90d792ec5f48b -- ARROW_MIMALLOC_BUILD_VERSION: v3.1.5 -- ARROW_MIMALLOC_BUILD_SHA256_CHECKSUM: 1c6949032069d5ebea438ec5cedd602d06f40a92ddf0f0d9dcff0993e5f6635c -- ARROW_NLOHMANN_JSON_BUILD_VERSION: v3.12.0 -- ARROW_NLOHMANN_JSON_BUILD_SHA256_CHECKSUM: 4b92eb0c06d10683f7447ce9406cb97cd4b453be18d7279320f7b2f025c10187 -- ARROW_OPENTELEMETRY_BUILD_VERSION: v1.21.0 -- ARROW_OPENTELEMETRY_BUILD_SHA256_CHECKSUM: 98e5546f577a11b52a57faed1f4cc60d8c1daa44760eba393f43eab5a8ec46a2 -- ARROW_OPENTELEMETRY_PROTO_BUILD_VERSION: v1.7.0 -- ARROW_OPENTELEMETRY_PROTO_BUILD_SHA256_CHECKSUM: 11330d850f5e24d34c4246bc8cb21fcd311e7565d219195713455a576bb11bed -- ARROW_ORC_BUILD_VERSION: 2.2.1 -- ARROW_ORC_BUILD_SHA256_CHECKSUM: 52fc762332442e8b05d7182f8c035f9e04d945b9a52be22ab69f28b3f37d4500 -- ARROW_PROTOBUF_BUILD_VERSION: v21.3 -- ARROW_PROTOBUF_BUILD_SHA256_CHECKSUM: 2f723218f6cb709ae4cdc4fb5ed56a5951fc5d466f0128ce4c946b8c78c8c49f -- ARROW_RAPIDJSON_BUILD_VERSION: 232389d4f1012dddec4ef84861face2d2ba85709 -- ARROW_RAPIDJSON_BUILD_SHA256_CHECKSUM: b9290a9a6d444c8e049bd589ab804e0ccf2b05dc5984a19ed5ae75d090064806 -- ARROW_RE2_BUILD_VERSION: 2023-03-01 -- ARROW_RE2_BUILD_SHA256_CHECKSUM: 7a9a4824958586980926a300b4717202485c4b4115ac031822e29aa4ef207e48 -- ARROW_SNAPPY_BUILD_VERSION: 1.2.2 -- ARROW_SNAPPY_BUILD_SHA256_CHECKSUM: 90f74bc1fbf78a6c56b3c4a082a05103b3a56bb17bca1a27e052ea11723292dc -- ARROW_SUBSTRAIT_BUILD_VERSION: v0.44.0 -- ARROW_SUBSTRAIT_BUILD_SHA256_CHECKSUM: f989a862f694e7dbb695925ddb7c4ce06aa6c51aca945105c075139aed7e55a2 -- ARROW_S2N_TLS_BUILD_VERSION: v1.5.23 -- ARROW_S2N_TLS_BUILD_SHA256_CHECKSUM: 81961ea5ae9313c987edfa579306ad4500bedfbf10caf84d8a5dcfc42aaf591f -- ARROW_THRIFT_BUILD_VERSION: 0.22.0 -- ARROW_THRIFT_BUILD_SHA256_CHECKSUM: 794a0e455787960d9f27ab92c38e34da27e8deeda7a5db0e59dc64a00df8a1e5 -- ARROW_UTF8PROC_BUILD_VERSION: v2.10.0 -- ARROW_UTF8PROC_BUILD_SHA256_CHECKSUM: 6f4f1b639daa6dca9f80bc5db1233e9cbaa31a67790887106160b33ef743f136 -- ARROW_XSIMD_BUILD_VERSION: 14.0.0 -- ARROW_XSIMD_BUILD_SHA256_CHECKSUM: 17de0236954955c10c09d6938d4c5f3a3b92d31be5dadd1d5d09fc1b15490dce -- ARROW_ZLIB_BUILD_VERSION: 1.3.1 -- ARROW_ZLIB_BUILD_SHA256_CHECKSUM: 9a93b2b7dfdac77ceba5a558a580e74667dd6fede4585b91eefb60f03b72df23 -- ARROW_ZSTD_BUILD_VERSION: 1.5.7 -- ARROW_ZSTD_BUILD_SHA256_CHECKSUM: eb33e51f49a15e023950cd7825ca74a4a2b43db8354825ac24fc1b7ee09e6fa3 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Check if compiler accepts -pthread -- Check if compiler accepts -pthread - yes -- Found Threads: TRUE -- Looking for _M_ARM64 -- Looking for _M_ARM64 - not found -- Looking for __SIZEOF_INT128__ -- Looking for __SIZEOF_INT128__ - found -- Found Boost 1.70.0 at /home/th798/.conda/envs/emacs1/lib/cmake/Boost-1.70.0 -- Requested configuration: QUIET -- Found boost_headers 1.70.0 at /home/th798/.conda/envs/emacs1/lib/cmake/boost_headers-1.70.0 -- Found Boost: /home/th798/.conda/envs/emacs1/lib/cmake/Boost-1.70.0/BoostConfig.cmake (found suitable version "1.70.0", minimum required is "1.69") -- Boost include dir: /home/th798/.conda/envs/emacs1/include CMake Warning at cmake_modules/FindSnappyAlt.cmake:41 (find_package): By not providing "FindSnappy.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "Snappy", but CMake did not find one. Could not find a package configuration file provided by "Snappy" with any of the following names: SnappyConfig.cmake snappy-config.cmake Add the installation prefix of "Snappy" to CMAKE_PREFIX_PATH or set "Snappy_DIR" to a directory containing one of the above files. If "Snappy" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:1452 (resolve_dependency) CMakeLists.txt:537 (include) -- Could NOT find SnappyAlt (missing: Snappy_LIB Snappy_INCLUDE_DIR) -- Building snappy from source -- Building without OpenSSL support. Minimum OpenSSL version 1.0.2 required. CMake Warning at cmake_modules/FindThriftAlt.cmake:42 (find_package): By not providing "FindThrift.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "Thrift", but CMake did not find one. Could not find a package configuration file provided by "Thrift" (requested version 0.11.0) with any of the following names: ThriftConfig.cmake thrift-config.cmake Add the installation prefix of "Thrift" to CMAKE_PREFIX_PATH or set "Thrift_DIR" to a directory containing one of the above files. If "Thrift" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:1849 (resolve_dependency) CMakeLists.txt:537 (include) -- Checking for module 'thrift' -- No package 'thrift' found -- Could NOT find ThriftAlt: (Required is at least version "0.11.0") (found ThriftAlt_LIB-NOTFOUND) -- Thrift: Building from source -- Thrift: Configuring arrow 0.22.0 -- Thrift: libevent NOT found. -- Thrift: Found OpenSSL: /home/th798/.conda/envs/emacs1/lib/libcrypto.so (found version "1.1.1v") CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (clang-tidy) does not match the name of the calling package (ClangTools). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/build/cmake/FindClangTools.cmake:16 (find_package_handle_standard_args) /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/build/cmake/StaticCodeAnalysis.cmake:1 (find_package) /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/CMakeLists.txt:51 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Thrift: Could NOT find clang-tidy (missing: clang-tidy_BINARY) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (clang-apply-replacements) does not match the name of the calling package (ClangTools). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/build/cmake/FindClangTools.cmake:16 (find_package_handle_standard_args) /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/build/cmake/StaticCodeAnalysis.cmake:1 (find_package) /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/CMakeLists.txt:51 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Thrift: Could NOT find clang-apply-replacements (missing: clang-apply-replacements_BINARY) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (run-clang-tidy) does not match the name of the calling package (ClangTools). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/build/cmake/FindClangTools.cmake:24 (find_package_handle_standard_args) /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/build/cmake/StaticCodeAnalysis.cmake:1 (find_package) /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/CMakeLists.txt:51 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Thrift: Could NOT find run-clang-tidy (missing: run-clang-tidy_BINARY) -- Thrift: Looking for arpa/inet.h -- Thrift: Looking for arpa/inet.h - found -- Thrift: Looking for fcntl.h -- Thrift: Looking for fcntl.h - found -- Thrift: Looking for getopt.h -- Thrift: Looking for getopt.h - found -- Thrift: Looking for inttypes.h -- Thrift: Looking for inttypes.h - found -- Thrift: Looking for netdb.h -- Thrift: Looking for netdb.h - found -- Thrift: Looking for netinet/in.h -- Thrift: Looking for netinet/in.h - found -- Thrift: Looking for signal.h -- Thrift: Looking for signal.h - found -- Thrift: Looking for stdint.h -- Thrift: Looking for stdint.h - found -- Thrift: Looking for unistd.h -- Thrift: Looking for unistd.h - found -- Thrift: Looking for pthread.h -- Thrift: Looking for pthread.h - found -- Thrift: Looking for sys/ioctl.h -- Thrift: Looking for sys/ioctl.h - found -- Thrift: Looking for sys/param.h -- Thrift: Looking for sys/param.h - found -- Thrift: Looking for sys/resource.h -- Thrift: Looking for sys/resource.h - found -- Thrift: Looking for sys/socket.h -- Thrift: Looking for sys/socket.h - found -- Thrift: Looking for sys/stat.h -- Thrift: Looking for sys/stat.h - found -- Thrift: Looking for sys/time.h -- Thrift: Looking for sys/time.h - found -- Thrift: Looking for sys/un.h -- Thrift: Looking for sys/un.h - found -- Thrift: Looking for poll.h -- Thrift: Looking for poll.h - found -- Thrift: Looking for sys/poll.h -- Thrift: Looking for sys/poll.h - found -- Thrift: Looking for sys/select.h -- Thrift: Looking for sys/select.h - found -- Thrift: Looking for sched.h -- Thrift: Looking for sched.h - found -- Thrift: Looking for string.h -- Thrift: Looking for string.h - found -- Thrift: Looking for strings.h -- Thrift: Looking for strings.h - found -- Thrift: Performing Test HAVE_AF_UNIX_H -- Thrift: Performing Test HAVE_AF_UNIX_H - Failed -- Thrift: Looking for gethostbyname -- Thrift: Looking for gethostbyname - found -- Thrift: Looking for gethostbyname_r -- Thrift: Looking for gethostbyname_r - found -- Thrift: Looking for strerror_r -- Thrift: Looking for strerror_r - found -- Thrift: Looking for sched_get_priority_max -- Thrift: Looking for sched_get_priority_max - found -- Thrift: Looking for sched_get_priority_min -- Thrift: Looking for sched_get_priority_min - found -- Thrift: Performing Test STRERROR_R_CHAR_P -- Thrift: Performing Test STRERROR_R_CHAR_P - Success -- Thrift: Building without tests -- Thrift: Found Boost 1.70.0 at /home/th798/.conda/envs/emacs1/lib/cmake/Boost-1.70.0 -- Thrift: Requested configuration: QUIET REQUIRED -- Thrift: ---------------------------------------------------------- -- Thrift: Thrift version: 0.22.0 (0.22.0) -- Thrift: Thrift package version: 0.22.0 -- Thrift: -- Thrift: Build configuration summary -- Thrift: Build compiler: OFF -- Thrift: Build libraries: ON -- Thrift: Build tests: OFF -- Thrift: - Disabled because BUILD_COMPILER=OFF and no valid THRIFT_COMPILER is given -- Thrift: Build type: Release -- Thrift: -- Thrift: Language libraries: -- Thrift: -- Thrift: Build as3 library: OFF -- Thrift: - Disabled by WITH_AS3=OFF -- Thrift: - Adobe Flex compc was not found - did you set env var FLEX_HOME? -- Thrift: -- Thrift: Build with OpenSSL: OFF -- Thrift: -- Thrift: Build C++ library: ON -- Thrift: C++ Language Level: C++20 [compiler must support it] -- Thrift: Build shared libraries: OFF -- Thrift: Build with libevent support: OFF -- Thrift: Build with Qt5 support: OFF -- Thrift: Build with ZLIB support: OFF -- Thrift: -- Thrift: Build C (GLib) library: OFF -- Thrift: - Disabled by WITH_C_GLIB=OFF -- Thrift: - GLib missing -- Thrift: -- Thrift: Build Java library: OFF -- Thrift: - Disabled by WITH_JAVA=OFF -- Thrift: - Gradle missing -- Thrift: Build Javascript library: OFF -- Thrift: - Disabled by WITH_JAVASCRIPT=OFF -- Thrift: Build NodeJS library: OFF -- Thrift: - Disabled by WITH_NODEJS=OFF -- Thrift: -- Thrift: Build Python library: OFF -- Thrift: - Disabled by WITH_PYTHON=OFF -- Thrift: -- Thrift: -- Thrift: ---------------------------------------------------------- -- Building (vendored) mimalloc from source CMake Warning at cmake_modules/FindRapidJSONAlt.cmake:29 (find_package): By not providing "FindRapidJSON.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "RapidJSON", but CMake did not find one. Could not find a package configuration file provided by "RapidJSON" (requested version 1.1.0) with any of the following names: RapidJSONConfig.cmake rapidjson-config.cmake Add the installation prefix of "RapidJSON" to CMAKE_PREFIX_PATH or set "RapidJSON_DIR" to a directory containing one of the above files. If "RapidJSON" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:2607 (resolve_dependency) CMakeLists.txt:537 (include) -- Could NOT find RapidJSONAlt (missing: RAPIDJSON_INCLUDE_DIR) (Required is at least version "1.1.0") -- Building RapidJSON from source CMake Warning at cmake_modules/ThirdpartyToolchain.cmake:291 (find_package): By not providing "Findxsimd.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "xsimd", but CMake did not find one. Could not find a package configuration file provided by "xsimd" with any of the following names: xsimdConfig.cmake xsimd-config.cmake Add the installation prefix of "xsimd" to CMAKE_PREFIX_PATH or set "xsimd_DIR" to a directory containing one of the above files. If "xsimd" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:2647 (resolve_dependency) CMakeLists.txt:537 (include) -- Building xsimd from source -- Found ZLIB: /packages/zlib/1.2.13-po6bkge/lib/libz.so (found version "1.2.13") -- Using pkg-config package for zlib that is used by arrow for static link CMake Warning at cmake_modules/Findlz4Alt.cmake:29 (find_package): By not providing "Findlz4.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "lz4", but CMake did not find one. Could not find a package configuration file provided by "lz4" with any of the following names: lz4Config.cmake lz4-config.cmake Add the installation prefix of "lz4" to CMAKE_PREFIX_PATH or set "lz4_DIR" to a directory containing one of the above files. If "lz4" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake_modules/ThirdpartyToolchain.cmake:291 (find_package) cmake_modules/ThirdpartyToolchain.cmake:2767 (resolve_dependency) CMakeLists.txt:537 (include) -- Checking for module 'liblz4' -- Found liblz4, version 1.9.3 -- Found lz4Alt: /home/th798/.conda/envs/emacs1/lib/liblz4.so -- Providing CMake module for Findlz4Alt as part of Arrow CMake package -- Using pkg-config package for liblz4 that is used by arrow for static link -- RE2: Building RE2 from source using FetchContent -- Could NOT find utf8proc: (Required is at least version "2.2.0") (found utf8proc_LIB-NOTFOUND) -- Building utf8proc from source -- Found hdfs.h at: /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/tools/cpp/thirdparty/hadoop/include/hdfs.h -- All bundled static libraries: Snappy::snappy-static;thrift;mimalloc::mimalloc;re2::re2;utf8proc::utf8proc -- CMAKE_C_FLAGS: -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -Wall -fno-semantic-interposition -msse4.2 -- CMAKE_CXX_FLAGS: -Wno-noexcept-type -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -fdiagnostics-color=always -Wall -fno-semantic-interposition -msse4.2 -- CMAKE_C_FLAGS_RELEASE: -O3 -DNDEBUG -O2 -ftree-vectorize -- CMAKE_CXX_FLAGS_RELEASE: -O3 -DNDEBUG -O2 -ftree-vectorize -- Creating bundled static library target arrow_bundled_dependencies at /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/release/libarrow_bundled_dependencies.a -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- --------------------------------------------------------------------- -- Arrow version: 23.0.1 -- -- Build configuration summary: -- Generator: Unix Makefiles -- Build type: Release -- Source directory: /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/tools/cpp -- Install prefix: /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/libarrow/arrow-23.0.1 -- -- Compile and link options: -- -- ARROW_CXXFLAGS="" [default=""] -- Compiler flags to append when compiling Arrow -- ARROW_BUILD_STATIC=ON [default=ON] -- Build static libraries -- ARROW_BUILD_SHARED=OFF [default=ON] -- Build shared libraries -- ARROW_PACKAGE_KIND="" [default=""] -- Arbitrary string that identifies the kind of package -- (for informational purposes) -- ARROW_GIT_ID="" [default=""] -- The Arrow git commit id (if any) -- ARROW_GIT_DESCRIPTION="" [default=""] -- The Arrow git commit description (if any) -- ARROW_POSITION_INDEPENDENT_CODE=ON [default=ON] -- Whether to create position-independent target -- ARROW_USE_CCACHE=ON [default=ON] -- Use ccache when compiling (if available) -- ARROW_USE_SCCACHE=ON [default=ON] -- Use sccache when compiling (if available), -- takes precedence over ccache if a storage backend is configured -- ARROW_USE_LLD=OFF [default=OFF] -- Use the LLVM lld for linking (if available) -- ARROW_USE_MOLD=OFF [default=OFF] -- Use mold for linking on Linux (if available) -- ARROW_SIMD_LEVEL=SSE4_2 [default=DEFAULT|NONE|SSE4_2|AVX2|AVX512|NEON|SVE|SVE128|SVE256|SVE512] -- Compile-time SIMD optimization level -- ARROW_RUNTIME_SIMD_LEVEL=MAX [default=MAX|NONE|SSE4_2|AVX2|AVX512] -- Max runtime SIMD optimization level -- ARROW_ALTIVEC=ON [default=ON] -- Build with Altivec if compiler has support -- ARROW_RPATH_ORIGIN=OFF [default=OFF] -- Build Arrow libraries with RATH set to $ORIGIN -- ARROW_INSTALL_NAME_RPATH=ON [default=ON] -- Build Arrow libraries with install_name set to @rpath -- ARROW_GGDB_DEBUG=ON [default=ON] -- Pass -ggdb flag to debug builds -- ARROW_WITH_MUSL=OFF [default=OFF] -- Whether the system libc is musl or not -- ARROW_ENABLE_THREADING=ON [default=ON] -- Enable threading in Arrow core -- -- Tests and benchmarks options: -- -- ARROW_BUILD_EXAMPLES=OFF [default=OFF] -- Build the Arrow examples -- ARROW_BUILD_TESTS=OFF [default=OFF] -- Build the Arrow googletest unit tests -- ARROW_ENABLE_TIMING_TESTS=ON [default=ON] -- Enable timing-sensitive tests -- ARROW_BUILD_INTEGRATION=OFF [default=OFF] -- Build the Arrow integration test executables -- ARROW_BUILD_BENCHMARKS=OFF [default=OFF] -- Build the Arrow micro benchmarks -- ARROW_BUILD_BENCHMARKS_REFERENCE=OFF [default=OFF] -- Build the Arrow micro reference benchmarks -- ARROW_BUILD_DETAILED_BENCHMARKS=OFF [default=OFF] -- Build benchmarks that do a longer exploration of performance -- ARROW_TEST_LINKAGE=static [default=static|shared] -- Linkage of Arrow libraries with unit tests executables. -- ARROW_BUILD_FUZZING_UTILITIES=OFF [default=OFF] -- Build command line utilities for fuzzing -- ARROW_FUZZING=OFF [default=OFF] -- Build Arrow fuzz targets -- ARROW_LARGE_MEMORY_TESTS=OFF [default=OFF] -- Enable unit tests which use large memory -- -- Coverage options: -- -- ARROW_GENERATE_COVERAGE=OFF [default=OFF] -- Build with C++ code coverage enabled -- -- Checks options: -- -- ARROW_TEST_MEMCHECK=OFF [default=OFF] -- Run the test suite using valgrind --tool=memcheck -- ARROW_USE_ASAN=OFF [default=OFF] -- Enable Address Sanitizer checks -- ARROW_USE_TSAN=OFF [default=OFF] -- Enable Thread Sanitizer checks -- ARROW_USE_UBSAN=OFF [default=OFF] -- Enable Undefined Behavior sanitizer checks -- -- Project component options: -- -- ARROW_ACERO=ON [default=OFF] -- Build the Arrow Acero Engine Module -- ARROW_AZURE=OFF [default=OFF] -- Build Arrow with Azure support (requires the Azure SDK for C++) -- ARROW_BUILD_UTILITIES=OFF [default=OFF] -- Build Arrow command line utilities -- ARROW_COMPUTE=ON [default=OFF] -- Build all Arrow Compute kernels -- ARROW_CSV=ON [default=OFF] -- Build the Arrow CSV Parser Module -- ARROW_CUDA=OFF [default=OFF] -- Build the Arrow CUDA extensions (requires CUDA toolkit) -- ARROW_DATASET=ON [default=OFF] -- Build the Arrow Dataset Modules -- ARROW_FILESYSTEM=ON [default=OFF] -- Build the Arrow Filesystem Layer -- ARROW_FLIGHT=OFF [default=OFF] -- Build the Arrow Flight RPC System (requires GRPC, Protocol Buffers) -- ARROW_FLIGHT_SQL=OFF [default=OFF] -- Build the Arrow Flight SQL extension -- ARROW_FLIGHT_SQL_ODBC=OFF [default=OFF] -- Build the Arrow Flight SQL ODBC extension -- ARROW_GANDIVA=OFF [default=OFF] -- Build the Gandiva libraries -- ARROW_GCS=OFF [default=C++ Client Libraries)] -- Build Arrow with GCS support (requires the Google Cloud Platform -- ARROW_HDFS=OFF [default=OFF] -- Build the Arrow HDFS bridge -- ARROW_IPC=ON [default=ON] -- Build the Arrow IPC extensions -- ARROW_JEMALLOC=OFF [default=OFF] -- Build the Arrow jemalloc-based allocator -- ARROW_JSON=ON [default=OFF] -- Build Arrow with JSON support (requires RapidJSON) -- ARROW_MIMALLOC=ON [default=ON] -- Build the Arrow mimalloc-based allocator -- ARROW_PARQUET=ON [default=OFF] -- Build the Parquet libraries -- ARROW_ORC=OFF [default=OFF] -- Build the Arrow ORC adapter -- ARROW_PYTHON=OFF [default=OFF] -- Build some components needed by PyArrow. -- (This is a deprecated option. Use CMake presets instead.) -- ARROW_S3=OFF [default=OFF] -- Build Arrow with S3 support (requires the AWS SDK for C++) -- ARROW_S3_MODULE=OFF [default=OFF] -- Build the Arrow S3 filesystem as a dynamic module -- ARROW_SUBSTRAIT=OFF [default=OFF] -- Build the Arrow Substrait Consumer Module -- ARROW_TENSORFLOW=OFF [default=OFF] -- Build Arrow with TensorFlow support enabled -- ARROW_TESTING=OFF [default=OFF] -- Build the Arrow testing libraries -- -- Thirdparty toolchain options: -- -- ARROW_DEPENDENCY_SOURCE=AUTO [default=CONDA|AUTO|BUNDLED|SYSTEM|VCPKG|BREW] -- Method to use for acquiring arrow's build dependencies -- ARROW_VERBOSE_THIRDPARTY_BUILD=OFF [default=OFF] -- Show output from ExternalProjects rather than just logging to files -- ARROW_DEPENDENCY_USE_SHARED=ON [default=ON] -- Link to shared libraries -- ARROW_BOOST_USE_SHARED=OFF [default=ON] -- Rely on Boost shared libraries where relevant -- ARROW_BROTLI_USE_SHARED=ON [default=ON] -- Rely on Brotli shared libraries where relevant -- ARROW_BZ2_USE_SHARED=ON [default=ON] -- Rely on Bz2 shared libraries where relevant -- ARROW_GFLAGS_USE_SHARED=ON [default=ON] -- Rely on GFlags shared libraries where relevant -- ARROW_GRPC_USE_SHARED=ON [default=ON] -- Rely on gRPC shared libraries where relevant -- ARROW_JEMALLOC_USE_SHARED=ON [default=ON] -- Rely on jemalloc shared libraries where relevant -- ARROW_LLVM_USE_SHARED=ON [default=ON] -- Rely on LLVM shared libraries where relevant -- ARROW_LZ4_USE_SHARED=ON [default=ON] -- Rely on lz4 shared libraries where relevant -- ARROW_OPENSSL_USE_SHARED=ON [default=ON] -- Rely on OpenSSL shared libraries where relevant -- ARROW_PROTOBUF_USE_SHARED=ON [default=ON] -- Rely on Protocol Buffers shared libraries where relevant -- ARROW_SNAPPY_USE_SHARED=OFF [default=ON] -- Rely on snappy shared libraries where relevant -- ARROW_THRIFT_USE_SHARED=ON [default=ON] -- Rely on thrift shared libraries where relevant -- ARROW_UTF8PROC_USE_SHARED=ON [default=ON] -- Rely on utf8proc shared libraries where relevant -- ARROW_ZSTD_USE_SHARED=ON [default=ON] -- Rely on zstd shared libraries where relevant -- ARROW_USE_GLOG=OFF [default=OFF] -- Build libraries with glog support for pluggable logging -- ARROW_WITH_BACKTRACE=ON [default=ON] -- Build with backtrace support -- ARROW_WITH_OPENTELEMETRY=OFF [default=OFF] -- Build libraries with OpenTelemetry support for distributed tracing -- ARROW_WITH_BROTLI=OFF [default=OFF] -- Build with Brotli compression -- ARROW_WITH_BZ2=OFF [default=OFF] -- Build with BZ2 compression -- ARROW_WITH_LZ4=ON [default=OFF] -- Build with lz4 compression -- ARROW_WITH_SNAPPY=ON [default=OFF] -- Build with Snappy compression -- ARROW_WITH_ZLIB=ON [default=OFF] -- Build with zlib compression -- ARROW_WITH_ZSTD=OFF [default=OFF] -- Build with zstd compression -- ARROW_WITH_UTF8PROC=ON [default=ON] -- Build with support for Unicode properties using the utf8proc library -- (only used if ARROW_COMPUTE is ON or ARROW_GANDIVA is ON) -- ARROW_WITH_RE2=ON [default=ON] -- Build with support for regular expressions using the re2 library -- (only used if ARROW_COMPUTE or ARROW_GANDIVA is ON) -- -- Parquet options: -- -- PARQUET_BUILD_EXECUTABLES=OFF [default=OFF] -- Build the Parquet executable CLI tools. Requires static libraries to be built. -- PARQUET_BUILD_EXAMPLES=OFF [default=OFF] -- Build the Parquet examples. Requires static libraries to be built. -- PARQUET_REQUIRE_ENCRYPTION=OFF [default=OFF] -- Build support for encryption. Fail if OpenSSL is not found -- -- Gandiva options: -- -- ARROW_GANDIVA_STATIC_LIBSTDCPP=OFF [default=OFF] -- Include -static-libstdc++ -static-libgcc when linking with -- Gandiva static libraries -- ARROW_GANDIVA_PC_CXX_FLAGS="" [default=""] -- Compiler flags to append when pre-compiling Gandiva operations -- -- Cross compiling options: -- -- ARROW_GRPC_CPP_PLUGIN="" [default=""] -- grpc_cpp_plugin path to be used -- -- Advanced developer options: -- -- ARROW_EXTRA_ERROR_CONTEXT=OFF [default=OFF] -- Compile with extra error context (line numbers, code) -- ARROW_OPTIONAL_INSTALL=OFF [default=OFF] -- If enabled install ONLY targets that have already been built. Please be -- advised that if this is enabled 'install' will fail silently on components -- that have not been built -- ARROW_GDB_INSTALL_DIR="" [default=""] -- Use a custom install directory for GDB plugin. -- In general, you don't need to specify this because the default -- (CMAKE_INSTALL_FULL_BINDIR on Windows, CMAKE_INSTALL_FULL_LIBDIR otherwise) -- is reasonable. -- Outputting build configuration summary to /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/cmake_summary.json -- Configuring done (13.5s) -- Generating done (0.1s) -- Build files have been written to: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b + /usr/bin/cmake3 --build . --target install -- -j 2 [ 0%] Creating directories for 'snappy_ep' [ 1%] Creating directories for 'mimalloc_ep' [ 1%] Performing download step (download, verify and extract) for 'snappy_ep' [ 1%] Performing download step (download, verify and extract) for 'mimalloc_ep' -- snappy_ep download command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-download-*.log [ 2%] No update step for 'snappy_ep' -- mimalloc_ep download command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/mimalloc_ep-prefix/src/mimalloc_ep-stamp/mimalloc_ep-download-*.log [ 2%] No update step for 'mimalloc_ep' [ 2%] No patch step for 'snappy_ep' [ 2%] No patch step for 'mimalloc_ep' [ 3%] Performing configure step for 'snappy_ep' [ 3%] Performing configure step for 'mimalloc_ep' -- mimalloc_ep configure command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/mimalloc_ep-prefix/src/mimalloc_ep-stamp/mimalloc_ep-configure-*.log [ 3%] Performing build step for 'mimalloc_ep' -- snappy_ep configure command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-configure-*.log [ 3%] Performing build step for 'snappy_ep' -- mimalloc_ep build command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/mimalloc_ep-prefix/src/mimalloc_ep-stamp/mimalloc_ep-build-*.log [ 3%] Performing install step for 'mimalloc_ep' -- mimalloc_ep install command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/mimalloc_ep-prefix/src/mimalloc_ep-stamp/mimalloc_ep-install-*.log [ 4%] Completed 'mimalloc_ep' [ 4%] Built target mimalloc_ep [ 5%] Creating directories for 'rapidjson_ep' [ 5%] Performing download step (download, verify and extract) for 'rapidjson_ep' -- snappy_ep build command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-build-*.log [ 5%] Performing install step for 'snappy_ep' -- rapidjson_ep download command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/rapidjson_ep-stamp/rapidjson_ep-download-*.log -- snappy_ep install command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/snappy_ep-prefix/src/snappy_ep-stamp/snappy_ep-install-*.log [ 5%] No update step for 'rapidjson_ep' [ 5%] Completed 'snappy_ep' [ 5%] No patch step for 'rapidjson_ep' [ 5%] Built target snappy_ep [ 5%] Performing configure step for 'rapidjson_ep' [ 5%] Creating directories for 'xsimd_ep' [ 5%] Performing download step (download, verify and extract) for 'xsimd_ep' -- rapidjson_ep configure command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/rapidjson_ep-stamp/rapidjson_ep-configure-*.log [ 5%] Performing build step for 'rapidjson_ep' -- rapidjson_ep build command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/rapidjson_ep-stamp/rapidjson_ep-build-*.log [ 5%] Performing install step for 'rapidjson_ep' -- rapidjson_ep install command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/rapidjson_ep-stamp/rapidjson_ep-install-*.log [ 5%] Completed 'rapidjson_ep' [ 5%] Built target rapidjson_ep [ 6%] Creating directories for 'utf8proc_ep' [ 6%] Performing download step (download, verify and extract) for 'utf8proc_ep' -- xsimd_ep download command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/xsimd_ep-stamp/xsimd_ep-download-*.log [ 8%] No update step for 'xsimd_ep' [ 8%] No patch step for 'xsimd_ep' [ 9%] Performing configure step for 'xsimd_ep' -- utf8proc_ep download command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-download-*.log [ 9%] No update step for 'utf8proc_ep' -- xsimd_ep configure command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/xsimd_ep-stamp/xsimd_ep-configure-*.log [ 9%] No patch step for 'utf8proc_ep' [ 9%] Performing build step for 'xsimd_ep' [ 9%] Performing configure step for 'utf8proc_ep' -- xsimd_ep build command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/xsimd_ep-stamp/xsimd_ep-build-*.log [ 9%] Performing install step for 'xsimd_ep' -- utf8proc_ep configure command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-configure-*.log -- xsimd_ep install command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/src/xsimd_ep-stamp/xsimd_ep-install-*.log [ 9%] Performing build step for 'utf8proc_ep' [ 9%] Completed 'xsimd_ep' [ 9%] Built target xsimd_ep [ 9%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_base.cc.o -- utf8proc_ep build command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-build-*.log [ 9%] Performing install step for 'utf8proc_ep' -- utf8proc_ep install command succeeded. See also /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/utf8proc_ep-prefix/src/utf8proc_ep-stamp/utf8proc_ep-install-*.log [ 10%] Completed 'utf8proc_ep' [ 10%] Built target utf8proc_ep [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/buffered.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_binary.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/caching.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_decimal.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/compressed.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_dict.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/file.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_io.dir/io/hdfs.cc.o [ 11%] Building CXX object src/arrow/CMakeFiles/arrow_array.dir/array/array_nested.cc.o [ 11%] Building CXX object 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_deps/re2-build/CMakeFiles/re2.dir/re2/unicode_casefold.cc.o [ 52%] Building CXX object _deps/re2-build/CMakeFiles/re2.dir/re2/unicode_groups.cc.o [ 52%] Building CXX object _deps/re2-build/CMakeFiles/re2.dir/util/rune.cc.o [ 52%] Building CXX object _deps/re2-build/CMakeFiles/re2.dir/util/strutil.cc.o [ 54%] Linking CXX static library libre2.a [ 54%] Built target re2 [ 55%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_selection_filter_internal.cc.o [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/TApplicationException.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TApplicationException.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TApplicationException.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/TOutput.cpp.o [ 55%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_selection_internal.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TOutput.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 55%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/TUuid.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TUuid.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TUuid.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/async/TAsyncChannel.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncChannel.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncChannel.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/alloc_traits.h:33, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ext/alloc_traits.h:34, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/unordered_map:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/functional:61, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncChannel.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/async/TAsyncProtocolProcessor.cpp.o [ 56%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_selection_take_internal.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProcessor.h:26, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProtocolProcessor.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProtocolProcessor.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/alloc_traits.h:33, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ext/alloc_traits.h:34, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/unordered_map:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/functional:61, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TAsyncProcessor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/async/TConcurrentClientSyncInfo.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TApplicationException.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TConcurrentClientSyncInfo.cpp:22: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/async/TConcurrentClientSyncInfo.cpp:21: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/ThreadManager.cpp.o [ 56%] Building CXX object src/arrow/CMakeFiles/arrow_compute_core.dir/compute/kernels/vector_swizzle.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.cpp:22: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/alloc_traits.h:33, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ext/alloc_traits.h:34, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/unordered_map:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/functional:61, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/TimerManager.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/TimerManager.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/TimerManager.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/chrono:41, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 56%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/processor/PeekProcessor.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/processor/PeekProcessor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/processor/PeekProcessor.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/processor/PeekProcessor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TBase64Utils.cpp.o [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TDebugProtocol.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TVirtualProtocol.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TDebugProtocol.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TDebugProtocol.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TJSONProtocol.cpp.o [ 57%] Built target arrow_compute_core [ 57%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/builder.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TVirtualProtocol.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TJSONProtocol.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TJSONProtocol.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TMultiplexedProtocol.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocolDecorator.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TMultiplexedProtocol.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TMultiplexedProtocol.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 57%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/protocol/TProtocol.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 58%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TTransportException.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/specfun.h:45, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/cmath:1935, from /home/th798/.conda/envs/emacs1/include/boost/config/no_tr1/cmath.hpp:21, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter_policies.hpp:15, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter.hpp:14, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/cast.hpp:33, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 58%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TFDTransport.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:28, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.cpp:34: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 58%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TSimpleFileTransport.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:28, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSimpleFileTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSimpleFileTransport.cpp:22: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFDTransport.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 58%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/THttpTransport.cpp.o [ 58%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/buffer.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.cpp:22: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 58%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/THttpClient.cpp.o [ 59%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/chunked_array.cc.o [ 59%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/chunk_resolver.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpClient.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpClient.cpp:26: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpClient.cpp:22: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 60%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/THttpServer.cpp.o [ 60%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/compare.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpServer.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpServer.cpp:25: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/THttpServer.cpp:21: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 60%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TSocket.cpp.o [ 60%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/config.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocket.cpp:52: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocket.cpp:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 60%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/datum.cc.o [ 60%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TSocketPool.cpp.o [ 60%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/device.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocket.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketPool.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketPool.cpp:29: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/algorithm:60, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketPool.cpp:22: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 60%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TServerSocket.cpp.o [ 62%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/device_allocation_type_set.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.h:27, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.cpp:54: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.cpp:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TServerSocket.cpp:56: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TSocketUtils.h:65:22: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 65 | struct Iter : std::iterator { | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 62%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension_type.cc.o [ 62%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TTransportUtils.cpp.o [ 62%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension/bool8.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportUtils.h:27, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportUtils.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportUtils.h:25: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 62%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TBufferTransports.cpp.o [ 62%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension/json.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.h:27, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.cpp:24: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/algorithm:60, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TBufferTransports.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 62%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/extension/uuid.cc.o [ 63%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/SocketCommon.cpp.o [ 64%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/pretty_print.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/SocketCommon.cpp:24: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/SocketCommon.h:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/SocketCommon.cpp:22: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TConnectedClient.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TConnectedClient.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TConnectedClient.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TConnectedClient.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TServerFramework.cpp.o [ 64%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/record_batch.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.cpp:24: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/algorithm:60, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TSimpleServer.cpp.o [ 64%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/result.cc.o [ 64%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/scalar.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TProcessor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TSimpleServer.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TSimpleServer.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TServerFramework.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 64%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TThreadPoolServer.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadManager.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadPoolServer.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadPoolServer.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/stdexcept:39, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/system_error:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/std_mutex.h:39, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/atomic_wait.h:49, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/atomic_base.h:41, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/atomic:41, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadPoolServer.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 65%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TThreadedServer.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadedServer.cpp:22: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/server/TThreadedServer.cpp:20: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 65%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TPipe.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TPipe.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/specfun.h:45, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/cmath:1935, from /home/th798/.conda/envs/emacs1/include/boost/config/no_tr1/cmath.hpp:21, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter_policies.hpp:15, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/converter.hpp:14, from /home/th798/.conda/envs/emacs1/include/boost/numeric/conversion/cast.hpp:33, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 65%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TPipeServer.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TPipe.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TPipeServer.cpp:23: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 65%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/transport/TFileTransport.cpp.o [ 65%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/sparse_tensor.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFileTransport.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFileTransport.cpp:47: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ostream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/iostream:39, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TFileTransport.cpp:36: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 65%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/VirtualProfiling.cpp.o [ 66%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/status.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/VirtualProfiling.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/string:40, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:37: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 67%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/server/TServer.cpp.o [ 67%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/ThreadFactory.cpp.o [ 67%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/table.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.h:23, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/ThreadFactory.cpp:22: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 67%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/Thread.cpp.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:26, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.cpp:20: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_algobase.h:65, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:63, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Thread.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 67%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/Monitor.cpp.o [ 67%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/table_builder.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Exception.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:24, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.cpp:22: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/Thrift.h:54:19: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 54 | : public std::iterator > { | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_construct.h:61, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/char_traits.h:46, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/ios:40, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/istream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/sstream:38, from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/chrono:41, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/concurrency/Monitor.h:23: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ [ 67%] Building CXX object _deps/thrift-build/lib/cpp/CMakeFiles/thrift.dir/src/thrift/concurrency/Mutex.cpp.o [ 67%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/tensor.cc.o [ 67%] Linking CXX static library ../../../../lib/libthrift.a [ 67%] Built target thrift [ 67%] Bundling /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/release/libarrow_bundled_dependencies.a [ 67%] Built target arrow_bundled_dependencies_merge [ 67%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/tensor/coo_converter.cc.o [ 67%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/tensor/csf_converter.cc.o [ 68%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/tensor/csx_converter.cc.o [ 68%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/type.cc.o [ 68%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/type_traits.cc.o [ 68%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/visitor.cc.o [ 68%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/c/bridge.cc.o [ 70%] Building CXX object src/arrow/CMakeFiles/arrow_objlib.dir/c/dlpack.cc.o [ 70%] Built target arrow_objlib [ 70%] Linking CXX static library ../../release/libarrow.a [ 70%] Built target arrow_static [ 70%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/initialize.cc.o [ 70%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/fuzz_internal.cc.o [ 70%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_basic.cc.o [ 70%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/path_internal.cc.o [ 70%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/reader.cc.o [ 70%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/reader_internal.cc.o [ 71%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_mode.cc.o [ 71%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/schema.cc.o [ 71%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_pivot.cc.o [ 72%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/schema_internal.cc.o [ 72%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_quantile.cc.o [ 72%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/variant_internal.cc.o [ 72%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/arrow/writer.cc.o [ 72%] Building CXX object src/parquet/CMakeFiles/parquet_objlib.dir/bloom_filter.cc.o [ 72%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_tdigest.cc.o In file included from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransport.h:25, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/protocol/TProtocol.h:46, from /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/TBase.h:24, from /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/tools/cpp/src/generated/parquet_types.h:14, from /tmp/th798/27261227/Rtmp2y7xni/R.INSTALL2e2d2068d11352/arrow/tools/cpp/src/parquet/bloom_filter.cc:26: /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe2d767b1b/_deps/thrift-src/lib/cpp/src/thrift/transport/TTransportException.h:23:10: fatal error: boost/numeric/conversion/cast.hpp: No such file or directory 23 | #include  | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compilation terminated. make[2]: *** [src/parquet/CMakeFiles/parquet_objlib.dir/build.make:188: src/parquet/CMakeFiles/parquet_objlib.dir/bloom_filter.cc.o] Error 1 make[1]: *** [CMakeFiles/Makefile2:2638: src/parquet/CMakeFiles/parquet_objlib.dir/all] Error 2 make[1]: *** Waiting for unfinished jobs.... 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src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/scalar_temporal_unary.cc.o [ 77%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/scalar_validity.cc.o [ 77%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/util_internal.cc.o [ 77%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/vector_array_sort.cc.o [ 77%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/vector_cumulative_ops.cc.o [ 78%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/vector_nested.cc.o [ 78%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/vector_pairwise.cc.o [ 78%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/vector_rank.cc.o [ 78%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/vector_replace.cc.o [ 78%] Building CXX object 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src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/grouper.cc.o [ 80%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/row_encoder_internal.cc.o [ 80%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/row_internal.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/util.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/util_internal.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_basic_avx2.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/kernels/aggregate_basic_avx512.cc.o [ 81%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/key_hash_internal_avx2.cc.o [ 82%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/key_map_internal_avx2.cc.o [ 82%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/compare_internal_avx2.cc.o [ 82%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/row/encode_internal_avx2.cc.o [ 82%] Building CXX object src/arrow/CMakeFiles/arrow_compute_objlib.dir/compute/util_avx2.cc.o [ 82%] Built target arrow_compute_objlib gmake: *** [Makefile:166: all] Error 2 **** Complete build log may still be present at /tmp/th798/27261227/RtmpaaSFV0/file2e2dbe3b7d3734.log *** Failed to find Arrow C++ libraries. ------------------------- NOTE --------------------------- There was an issue preparing the Arrow C++ libraries. See https://arrow.apache.org/docs/r/articles/install.html ---------------------------------------------------------- Test compile error: :1:10: fatal error: arrow/api.h: No such file or directory compilation terminated. Failing compile command: /packages/gcc/12.2.0-nnbserq/bin/g++ -E -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -std=gnu++20 -xc++ - PKG_CFLAGS= PKG_LIBS= ERROR: configuration failed for package 'arrow' * removing '/tmp/th798/27261227/R-release/841/library/arrow' * installing *source* package 'blme' ... ** this is package 'blme' version '1.0-7' ** package 'blme' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blme) * installing *source* package 'clarify' ... ** this is package 'clarify' version '0.2.2' ** package 'clarify' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clarify) * installing *source* package 'cobalt' ... ** this is package 'cobalt' version '4.6.2' ** package 'cobalt' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cobalt) * installing *source* package 'covr' ... ** this is package 'covr' version '3.6.5' ** package 'covr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reassign.c -o reassign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o covr.so reassign.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-covr/00new/covr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (covr) * installing *source* package 'crch' ... ** this is package 'crch' version '1.2-2' ** package 'crch' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c clogis.c -o clogis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cnorm.c -o cnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ct.c -o ct.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mycov.c -o mycov.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tlogis.c -o tlogis.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tnorm.c -o tnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tt.c -o tt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o crch.so clogis.o cnorm.o ct.o init.o mycov.o tlogis.o tnorm.o tt.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-crch/00new/crch/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crch) * installing *source* package 'distributional' ... ** this is package 'distributional' version '0.6.0' ** package 'distributional' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (distributional) * installing *source* package 'ggokabeito' ... ** this is package 'ggokabeito' version '0.1.0' ** package 'ggokabeito' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggokabeito) * installing *source* package 'ggrepel' ... ** this is package 'ggrepel' version '0.9.7' ** package 'ggrepel' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c repel_boxes.cpp -o repel_boxes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ggrepel.so RcppExports.o repel_boxes.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ggrepel/00new/ggrepel/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggrepel) * installing *source* package 'lmerTest' ... ** this is package 'lmerTest' version '3.2-1' ** package 'lmerTest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lmerTest) * installing *source* package 'mhurdle' ... ** this is package 'mhurdle' version '1.3-2' ** package 'mhurdle' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ptnorm.f -o ptnorm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mhurdle.so init.o ptnorm.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mhurdle/00new/mhurdle/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mhurdle) * installing *source* package 'modelbased' ... ** this is package 'modelbased' version '0.14.0' ** package 'modelbased' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelbased) * installing *source* package 'modelsummary' ... ** this is package 'modelsummary' version '2.6.0' ** package 'modelsummary' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelsummary) * installing *source* package 'patchwork' ... ** this is package 'patchwork' version '1.3.2' ** package 'patchwork' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (patchwork) * installing *source* package 'rcmdcheck' ... ** this is package 'rcmdcheck' version '1.4.0' ** package 'rcmdcheck' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rcmdcheck) * installing *source* package 'rmarkdown' ... ** this is package 'rmarkdown' version '2.30' ** package 'rmarkdown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmarkdown) * installing *source* package 'robustlmm' ... ** this is package 'robustlmm' version '3.4-2' ** package 'robustlmm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Integration.cpp -o Integration.o In file included from /tmp/th798/27261227/R-release/841/library/Rcpp/include/RcppCommon.h:29, from /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp.h:27, from misc.h:8, from Integration.h:4, from Integration.cpp:1: /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/r/check_r_headers.h:27:21: note: '#pragma message: R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410' 27 | #pragma message "R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410" | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c PsiFunction.cpp -o PsiFunction.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c local_stubs.c -o local_stubs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc.cpp -o misc.o In file included from /tmp/th798/27261227/R-release/841/library/Rcpp/include/RcppCommon.h:29, from /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp.h:27, from misc.h:8, from misc.cpp:1: /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/r/check_r_headers.h:27:21: note: '#pragma message: R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410' 27 | #pragma message "R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410" | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlmerMatrixUtils.cpp -o rlmerMatrixUtils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DSTRICT_R_HEADERS -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/robustbase/include' -I'/projects/genomic-ml/R/R-release/library/Matrix/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c robustlmm_init.cpp -o robustlmm_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o robustlmm.so Integration.o PsiFunction.o local_stubs.o misc.o rlmerMatrixUtils.o robustlmm_init.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-robustlmm/00new/robustlmm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robustlmm) * installing *source* package 'svglite' ... ** this is package 'svglite' version '2.2.2' ** package 'svglite' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SvgStream.cpp -o SvgStream.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/systemfonts/include' -I'/tmp/th798/27261227/R-release/841/library/textshaping/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c devSVG.cpp -o devSVG.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o svglite.so SvgStream.o cpp11.o devSVG.o -lpng -lz installing to /tmp/th798/27261227/R-release/841/library/00LOCK-svglite/00new/svglite/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (svglite) * installing *source* package 'tibble' ... ** this is package 'tibble' version '3.3.1' ** package 'tibble' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attributes.c -o attributes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coerce.c -o coerce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matrixToDataFrame.c -o matrixToDataFrame.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tibble.so attributes.o coerce.o init.o matrixToDataFrame.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-tibble/00new/tibble/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tibble) * installing *source* package 'miniUI' ... ** this is package 'miniUI' version '0.1.2' ** package 'miniUI' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (miniUI) * installing *source* package 'htmlwidgets' ... ** this is package 'htmlwidgets' version '1.6.4' ** package 'htmlwidgets' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (htmlwidgets) * installing *source* package 'vroom' ... ** this is package 'vroom' version '1.7.0' ** package 'vroom' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Iconv.cpp -o Iconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LocaleInfo.cpp -o LocaleInfo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c altrep.cc -o altrep.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c delimited_index.cc -o delimited_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c delimited_index_connection.cc -o delimited_index_connection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fixed_width_index_connection.cc -o fixed_width_index_connection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gen.cc -o gen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c grisu3.c -o grisu3.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c guess_type.cc -o guess_type.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c iconv_file.cc -o iconv_file.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c index_collection.cc -o index_collection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom.cc -o vroom.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_big_int.cc -o vroom_big_int.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_chr.cc -o vroom_chr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_date.cc -o vroom_date.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_dbl.cc -o vroom_dbl.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_dttm.cc -o vroom_dttm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_errors.cpp -o vroom_errors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_fct.cc -o vroom_fct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_fwf.cc -o vroom_fwf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_int.cc -o vroom_int.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_num.cc -o vroom_num.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_rle.cc -o vroom_rle.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_time.cc -o vroom_time.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vroom_write.cc -o vroom_write.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o vroom.so Iconv.o LocaleInfo.o altrep.o cpp11.o delimited_index.o delimited_index_connection.o fixed_width_index_connection.o gen.o grisu3.o guess_type.o iconv_file.o index_collection.o vroom.o vroom_big_int.o vroom_chr.o vroom_date.o vroom_dbl.o vroom_dttm.o vroom_errors.o vroom_fct.o vroom_fwf.o vroom_int.o vroom_num.o vroom_rle.o vroom_time.o vroom_write.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-vroom/00new/vroom/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vroom) * installing *source* package 'jomo' ... ** this is package 'jomo' version '2.7-6' ** package 'jomo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1C.c -o jomo1C.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ranC.c -o jomo1ranC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ranhrC.c -o jomo1ranhrC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ranhrsmcC.c -o jomo1ranhrsmcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1ransmcC.c -o jomo1ransmcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo1smcC.c -o jomo1smcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2comC.c -o jomo2comC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2hrC.c -o jomo2hrC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2hrsmcC.c -o jomo2hrsmcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo2smcC.c -o jomo2smcC.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c jomo_init.c -o jomo_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pdflib.c -o pdflib.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wishart.c -o wishart.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o jomo.so jomo1C.o jomo1ranC.o jomo1ranhrC.o jomo1ranhrsmcC.o jomo1ransmcC.o jomo1smcC.o jomo2comC.o jomo2hrC.o jomo2hrsmcC.o jomo2smcC.o jomo_init.o pdflib.o wishart.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-jomo/00new/jomo/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jomo) * installing *source* package 'shinythemes' ... ** this is package 'shinythemes' version '1.2.0' ** package 'shinythemes' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinythemes) * installing *source* package 'sfd' ... ** this is package 'sfd' version '0.1.0' ** package 'sfd' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sfd) * installing *source* package 'ipred' ... ** this is package 'ipred' version '0.9-15' ** package 'ipred' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SdiffKM.c -o SdiffKM.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ipred.so SdiffKM.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ipred/00new/ipred/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ipred) * installing *source* package 'cellranger' ... ** this is package 'cellranger' version '1.1.0' ** package 'cellranger' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cellranger) * installing *source* package 'rematch2' ... ** this is package 'rematch2' version '2.1.2' ** package 'rematch2' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rematch2) * installing *source* package 'shinyjs' ... ** this is package 'shinyjs' version '2.1.1' ** package 'shinyjs' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinyjs) * installing *source* package 'DALEX' ... ** this is package 'DALEX' version '2.5.3' ** package 'DALEX' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DALEX) * installing *source* package 'testthat' ... ** this is package 'testthat' version '3.3.2' ** package 'testthat' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-catch.cpp -o test-catch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-example.cpp -o test-example.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-runner.cpp -o test-runner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o testthat.so init.o test-catch.o test-example.o test-runner.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-testthat/00new/testthat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (testthat) * installing *source* package 'forcats' ... ** this is package 'forcats' version '1.0.1' ** package 'forcats' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (forcats) * installing *source* package 'mlr3cluster' ... ** this is package 'mlr3cluster' version '0.3.0' ** package 'mlr3cluster' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3cluster) * installing *source* package 'mlr3filters' ... ** this is package 'mlr3filters' version '0.9.0' ** package 'mlr3filters' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3filters) * installing *source* package 'mlr3fselect' ... ** this is package 'mlr3fselect' version '1.5.0' ** package 'mlr3fselect' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3fselect) * installing *source* package 'mlr3inferr' ... ** this is package 'mlr3inferr' version '0.2.1' ** package 'mlr3inferr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3inferr) * installing *source* package 'mlr3learners' ... ** this is package 'mlr3learners' version '0.14.0' ** package 'mlr3learners' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ranger_var.c -o ranger_var.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3learners.so init.o ranger_var.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mlr3learners/00new/mlr3learners/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3learners) * installing *source* package 'mlr3pipelines' ... ** this is package 'mlr3pipelines' version '0.11.0' ** package 'mlr3pipelines' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3pipelines) * installing *source* package 'mlr3tuning' ... ** this is package 'mlr3tuning' version '1.5.1' ** package 'mlr3tuning' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3tuning) * installing *source* package 'mlr3viz' ... ** this is package 'mlr3viz' version '0.11.0' ** package 'mlr3viz' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3viz) * installing *source* package 'hardhat' ... ** this is package 'hardhat' version '1.4.2' ** package 'hardhat' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hardhat) * installing *source* package 'butcher' ... ** this is package 'butcher' version '0.4.0' ** package 'butcher' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (butcher) * installing *source* package 'msm' ... ** this is package 'msm' version '1.8.2' ** package 'msm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c analyticp.c -o analyticp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hmm.c -o hmm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hmmderiv.c -o hmmderiv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lik.c -o lik.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c msm-init.c -o msm-init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pijt.c -o pijt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o msm.so analyticp.o hmm.o hmmderiv.o lik.o msm-init.o pijt.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-msm/00new/msm/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (msm) * installing *source* package 'googledrive' ... ** this is package 'googledrive' version '2.1.2' ** package 'googledrive' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (googledrive) * installing *source* package 'reprex' ... ** this is package 'reprex' version '2.1.1' ** package 'reprex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reprex) * installing *source* package 'rvest' ... ** this is package 'rvest' version '1.0.5' ** package 'rvest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rvest) * installing *source* package 'modelenv' ... ** this is package 'modelenv' version '0.2.0' ** package 'modelenv' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelenv) * installing *source* package 'bench' ... ** this is package 'bench' version '1.1.4' ** package 'bench' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c load.c -o load.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mark.c -o mark.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nanotime.c -o nanotime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c process_memory.c -o process_memory.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o bench.so load.o mark.o nanotime.o process_memory.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-bench/00new/bench/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bench) * installing *source* package 'causaldata' ... ** this is package 'causaldata' version '0.1.4' ** package 'causaldata' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (causaldata) * installing *source* package 'dplyr' ... ** this is package 'dplyr' version '1.2.0' ** package 'dplyr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chop.cpp -o chop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c filter.cpp -o filter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c funs.cpp -o funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group_by.cpp -o group_by.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c group_data.cpp -o group_data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c imports.cpp -o imports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mask.cpp -o mask.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mutate.cpp -o mutate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reconstruct.cpp -o reconstruct.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c slice.cpp -o slice.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c summarise.cpp -o summarise.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o dplyr.so chop.o filter.o funs.o group_by.o group_data.o imports.o init.o mask.o mutate.o reconstruct.o slice.o summarise.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-dplyr/00new/dplyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dplyr) * installing *source* package 'equivalence' ... ** this is package 'equivalence' version '0.8.2' ** package 'equivalence' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c equivalence_init.c -o equivalence_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumU.c -o sumU.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumW.c -o sumW.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumXXY.c -o sumXXY.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumXYY.c -o sumXYY.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sumq.c -o sumq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o equivalence.so equivalence_init.o sumU.o sumW.o sumXXY.o sumXYY.o sumq.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-equivalence/00new/equivalence/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (equivalence) * installing *source* package 'ggdist' ... ** this is package 'ggdist' version '3.3.3' ** package 'ggdist' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c binning_methods.cpp -o binning_methods.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ggdist.so RcppExports.o binning_methods.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-ggdist/00new/ggdist/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggdist) * installing *source* package 'kableExtra' ... ** this is package 'kableExtra' version '1.4.0' ** package 'kableExtra' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kableExtra) * installing *source* package 'nycflights13' ... ** this is package 'nycflights13' version '1.0.2' ** package 'nycflights13' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nycflights13) * installing *source* package 'pkgdown' ... ** this is package 'pkgdown' version '2.2.0' ** package 'pkgdown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgdown) * installing *source* package 'posterior' ... ** this is package 'posterior' version '1.6.1' ** package 'posterior' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (posterior) * installing *source* package 'quarto' ... ** this is package 'quarto' version '1.5.1' ** package 'quarto' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quarto) * installing *source* package 'colourpicker' ... ** this is package 'colourpicker' version '1.3.0' ** package 'colourpicker' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (colourpicker) * installing *source* package 'dygraphs' ... ** this is package 'dygraphs' version '1.1.1.6' ** package 'dygraphs' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dygraphs) * installing *source* package 'threejs' ... ** this is package 'threejs' version '0.3.4' ** package 'threejs' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for 'vertices' from package 'igraph' in package 'threejs' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (threejs) * installing *source* package 'loo' ... ** this is package 'loo' version '2.9.0' ** package 'loo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (loo) * installing *source* package 'DT' ... ** this is package 'DT' version '0.34.0' ** package 'DT' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DT) * installing *source* package 'readr' ... ** this is package 'readr' version '2.2.0' ** package 'readr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Collector.cpp -o Collector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CollectorGuess.cpp -o CollectorGuess.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Iconv.cpp -o Iconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LocaleInfo.cpp -o LocaleInfo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Reader.cpp -o Reader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Source.cpp -o Source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Tokenizer.cpp -o Tokenizer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TokenizerDelim.cpp -o TokenizerDelim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TokenizerFwf.cpp -o TokenizerFwf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TokenizerWs.cpp -o TokenizerWs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c connection.cpp -o connection.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c datetime.cpp -o datetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c grisu3.c -o grisu3.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.cpp -o parse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read.cpp -o read.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c type_convert.cpp -o type_convert.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write.cpp -o write.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/tzdb/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_delim.cpp -o write_delim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o readr.so Collector.o CollectorGuess.o Iconv.o LocaleInfo.o Reader.o Source.o Tokenizer.o TokenizerDelim.o TokenizerFwf.o TokenizerWs.o connection.o cpp11.o datetime.o grisu3.o init.o parse.o read.o type_convert.o write.o write_delim.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-readr/00new/readr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readr) * installing *source* package 'mlr3hyperband' ... ** this is package 'mlr3hyperband' version '1.0.0' ** package 'mlr3hyperband' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3hyperband) * installing *source* package 'mlr3mbo' ... ** this is package 'mlr3mbo' version '1.0.0' ** package 'mlr3mbo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c avl.c -o avl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hv.c -o hv.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c infill.c -o infill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3mbo.so avl.o hv.o infill.o init.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mlr3mbo/00new/mlr3mbo/libs ** R ** preparing package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3mbo) * installing *source* package 'mlr3tuningspaces' ... ** this is package 'mlr3tuningspaces' version '0.6.0' ** package 'mlr3tuningspaces' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3tuningspaces) * installing *source* package 'yardstick' ... ** this is package 'yardstick' version '1.3.2' ** package 'yardstick' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mcc-multiclass.c -o mcc-multiclass.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o yardstick.so init.o mcc-multiclass.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-yardstick/00new/yardstick/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yardstick) * installing *source* package 'htmlTable' ... ** this is package 'htmlTable' version '2.4.3' ** package 'htmlTable' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (htmlTable) * installing *source* package 'dials' ... ** this is package 'dials' version '1.4.2' ** package 'dials' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dials) * installing *source* package 'modeldata' ... ** this is package 'modeldata' version '1.5.1' ** package 'modeldata' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modeldata) * installing *source* package 'tailor' ... ** this is package 'tailor' version '0.1.0' ** package 'tailor' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tailor) * installing *source* package 'dtplyr' ... ** this is package 'dtplyr' version '1.3.3' ** package 'dtplyr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dtplyr) * installing *source* package 'googlesheets4' ... ** this is package 'googlesheets4' version '1.1.2' ** package 'googlesheets4' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (googlesheets4) * installing *source* package 'readxl' ... ** this is package 'readxl' version '1.4.5' ** package 'readxl' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c XlsWorkBook.cpp -o XlsWorkBook.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c XlsxWorkBook.cpp -o XlsxWorkBook.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c zip.cpp -o zip.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Read.cpp -o Read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cran.c -o cran.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/xlstool.c -o libxls/xlstool.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/endian.c -o libxls/endian.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/ole.c -o libxls/ole.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/xls.c -o libxls/xls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iunix -I. -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/progress/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libxls/locale.c -o libxls/locale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o readxl.so cpp11.o XlsWorkBook.o XlsxWorkBook.o zip.o Read.o cran.o libxls/xlstool.o libxls/endian.o libxls/ole.o libxls/xls.o libxls/locale.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-readxl/00new/readxl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readxl) * installing *source* package 'DALEXtra' ... ** this is package 'DALEXtra' version '2.3.1' ** package 'DALEXtra' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DALEXtra) * installing *source* package 'fmeffects' ... ** this is package 'fmeffects' version '0.1.4' ** package 'fmeffects' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fmeffects) * installing *source* package 'optmatch' ... ** this is package 'optmatch' version '0.10.8' ** package 'optmatch' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cuseful.cc -o cuseful.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances.cc -o distances.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ism.cc -o ism.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optmatch_init.c -o optmatch_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_smahal.cc -o r_smahal.o In file included from /tmp/th798/27261227/R-release/841/library/Rcpp/include/RcppCommon.h:29, from /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp.h:27, from r_smahal.cc:4: /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/r/check_r_headers.h:27:21: note: '#pragma message: R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410' 27 | #pragma message "R.h has been included before any Rcpp headers. This can lead to hard-to-debug errors, and is not necessary. See https://github.com/RcppCore/Rcpp/issues/1410" | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c smahal.cc -o smahal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DUSE_FC_LEN_T -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subsetInfSparseMatrix.cc -o subsetInfSparseMatrix.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o optmatch.so RcppExports.o cuseful.o distances.o ism.o optmatch_init.o r_smahal.o smahal.o subsetInfSparseMatrix.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. installing to /tmp/th798/27261227/R-release/841/library/00LOCK-optmatch/00new/optmatch/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (optmatch) * installing *source* package 'Rchoice' ... ** this is package 'Rchoice' version '0.3-6' ** package 'Rchoice' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rchoice) * installing *source* package 'tidyr' ... ** this is package 'tidyr' version '1.3.2' ** package 'tidyr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c melt.cpp -o melt.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c simplifyPieces.cpp -o simplifyPieces.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o tidyr.so cpp11.o melt.o simplifyPieces.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-tidyr/00new/tidyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyr) * installing *source* package 'altdoc' ... ** this is package 'altdoc' version '0.7.2' ** package 'altdoc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (altdoc) * installing *source* package 'rstan' ... ** this is package 'rstan' version '2.32.7' ** package 'rstan' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chains.cpp -o chains.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/append_return_type.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta.hpp:72, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/core.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim.hpp:10, from chains.cpp:19: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/include/make_fused.hpp:11, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/resize.hpp:30, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint.hpp:25, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor.hpp:16, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim.hpp:15: /tmp/th798/27261227/R-release/841/library/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:76, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:7, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta.hpp:79: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:50: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:20: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:33: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:36: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:54: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:23: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:63: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:128:23: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:134:30: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:144:28: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:144:31: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/FFT:243:20: required from 'void Eigen::FFT::fwd(Eigen::MatrixBase&, const Eigen::MatrixBase&, Index) [with InputDerived = Eigen::Matrix; ComplexDerived = Eigen::Matrix, -1, 1>; T_Scalar = double; T_Impl = Eigen::default_fft_impl; Index = long int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:132:10: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:88:18: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/mean.hpp:25:74: required from 'stan::math::mean >(const std::vector&):: [with auto:229 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:158:45: required from 'static auto stan::math::apply_vector_unary::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = std::vector]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/mean.hpp:24:39: required from 'stan::return_type_t stan::math::mean(const T&) [with T = std::vector; stan::require_container_t* = 0; stan::return_type_t = double]' chains.cpp:347:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:69:60: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:128:27: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/FFT:245:15: required from 'void Eigen::FFT::fwd(Eigen::MatrixBase&, const Eigen::MatrixBase&, Index) [with InputDerived = Eigen::Matrix; ComplexDerived = Eigen::Matrix, -1, 1>; T_Scalar = double; T_Impl = Eigen::default_fft_impl; Index = long int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:132:10: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/FFT:243:40: required from 'void Eigen::FFT::fwd(Eigen::MatrixBase&, const Eigen::MatrixBase&, Index) [with InputDerived = Eigen::Matrix; ComplexDerived = Eigen::Matrix, -1, 1>; T_Scalar = double; T_Impl = Eigen::default_fft_impl; Index = long int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocorrelation.hpp:132:10: required from 'void stan::math::autocorrelation(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:68:18: required from 'void stan::math::autocovariance(const Eigen::MatrixBase&, Eigen::MatrixBase&, Eigen::FFT&) [with T = double; DerivedA = Eigen::Map, 0, Eigen::Stride<0, 0> >; DerivedB = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/autocovariance.hpp:96:17: required from 'void stan::math::autocovariance(const std::vector&, std::vector&) [with T = double]' chains.cpp:240:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:309:73: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:310:84: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:370:17: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pointer-tools.cpp -o pointer-tools.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stan_fit_rccp.cpp -o stan_fit_rccp.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from ../inst/include/rstan_next/stan_fit_base.hpp:5, from stan_fit_rccp.cpp:1: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' stan_fit_rccp.cpp:57:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' stan_fit_rccp.cpp:57:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' stan_fit_rccp.cpp:57:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stan_fit_base.cpp -o stan_fit_base.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from ../inst/include/rstan_next/stan_fit_base.hpp:5, from stan_fit_base.cpp:1: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Module.cpp -o Module.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/append_return_type.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta.hpp:72, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/accumulate_adjoints.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/model/model_base.hpp:5, from Module.cpp:2: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from init.cpp:25: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.cpp -o version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c misc.cpp -o misc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse_extractors.cpp -o sparse_extractors.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/append_return_type.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta.hpp:72, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/core.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim.hpp:10, from sparse_extractors.cpp:2: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/include/make_fused.hpp:11, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/resize.hpp:30, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint.hpp:25, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor.hpp:16, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim.hpp:15: /tmp/th798/27261227/R-release/841/library/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:76, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:7, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta.hpp:79: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' sparse_extractors.cpp:9:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' sparse_extractors.cpp:9:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_extractors.cpp:9:65: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:16: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:61:50: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:88:18: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from 'Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 1; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_extractors.cpp:9:65: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:309:73: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:310:84: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:370:17: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView >, 2>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rstan.so chains.o pointer-tools.o stan_fit_rccp.o stan_fit_base.o Module.o init.o version.o misc.o sparse_extractors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I"../inst/include" -I"../inst/include/boost_not_in_BH" -I"/tmp/th798/27261227/R-release/841/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_REENTRANT -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -D_HAS_AUTO_PTR_ETC=0 -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I'/tmp/th798/27261227/R-release/841/library/BH/include' -I'/tmp/th798/27261227/R-release/841/library/StanHeaders/include' -I'/tmp/th798/27261227/R-release/841/library/RcppParallel/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DSTRICT_R_HEADERS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stan_fit.cpp -o stan_fit.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from ../inst/include/rstan_next/stan_fit_base.hpp:5, from ../inst/include/rstan_next/stan_fit.hpp:5, from stan_fit.cpp:1: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::SparseMatrixBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: recursively required by substitution of 'template class stan::math::arena_matrix::type>::value, void>::type> [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:853:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:17, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/shared_ptr.hpp:17, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/date_time/time_clock.hpp:17, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from stan_fit.cpp:14: /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/detail/shared_count.hpp:294:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 294 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/memory:76, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:7, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta.hpp:79, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/accumulate_adjoints.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core.hpp:4, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/model/model_base.hpp:5, from ../inst/include/rstan_next/stan_fit.hpp:7: /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 354 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 365 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 423 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 430 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': /tmp/th798/27261227/R-release/841/library/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 432 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:268 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:268 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:12 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/fusion/include/make_fused.hpp:11, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/resize.hpp:30, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /tmp/th798/27261227/R-release/841/library/BH/include/boost/numeric/odeint.hpp:25, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor.hpp:16, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim.hpp:15, from /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/io/dump.hpp:7, from stan_fit.cpp:42: /tmp/th798/27261227/R-release/841/library/BH/include/boost/get_pointer.hpp: At global scope: /tmp/th798/27261227/R-release/841/library/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ /packages/gcc/12.2.0-nnbserq/lib/gcc/x86_64-pc-linux-gnu/12.2.0/../../../../include/c++/12.2.0/bits/unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of 'template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::EigenBase*) [with OtherDerived = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8: required from 'struct stan::is_eigen >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:301:19: required by substitution of 'template class stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type> [with T = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:129:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:814:9: required from 'class stan::math::vari_value, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:419:57: required from 'const auto& stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::val() const [with T = Eigen::SparseMatrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:196 = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:196 = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:12 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:7: required from 'class stan::math::arena_matrix, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl > >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block > >, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase > >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block > >, -1, 1, true>, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock > >, -1, 1, true>, -1>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:18 = const Eigen::Matrix, -1, 1>]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_dense_base_t* = 0; stan::require_not_st_arithmetic* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:40 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:196 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = stan::model::model_base; Eigen::MatrixXd = Eigen::Matrix]' stan_fit.cpp:1185:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:328 = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: required from 'void stan::variational::normal_meanfield::calc_grad(stan::variational::normal_meanfield&, M&, Eigen::VectorXd&, int, BaseRNG&, stan::callbacks::logger&) const [with M = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::VectorXd = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/advi.hpp:149:26: required from 'void stan::variational::advi::calc_ELBO_grad(const Q&, Q&, stan::callbacks::logger&) const [with Model = stan::model::model_base; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = stan::model::model_base; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = stan::model::model_base; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:893:18: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = stan::model::model_base; Eigen::MatrixXd = Eigen::Matrix]' stan_fit.cpp:1185:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = stan::model::model_base; Eigen::MatrixXd = Eigen::Matrix]' stan_fit.cpp:1185:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:42:19: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::add]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:323:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:42:19: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::Map >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::Map >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::TriangularView >, 1>; int ProductTag = 8; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::TriangularView >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Map > >; Rhs = Eigen::TriangularView >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose > >, const Eigen::Map > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose > >, const Eigen::Map > >, Eigen::TriangularView >, 1>, 0>, 1>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:9: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:20: required from 'stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:11: required from 'stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product >, 1>, Eigen::Transpose > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:30: required from 'void stan::mcmc::dense_e_metric::sample_p(stan::mcmc::dense_e_point&, BaseRNG&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/base_hmc.hpp:89:32: required from 'void stan::mcmc::base_hmc::init_stepsize(stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::dense_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = stan::model::model_base; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long unsigned int]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base]' stan_fit.cpp:631:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = stan::model::model_base; bool jacobian = false]' stan_fit.cpp:510:41: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = stan::model::model_base; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = stan::model::model_base; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' /tmp/th798/27261227/R-release/841/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ar -rs ../inst/lib//libStanServices.a stan_fit.o stan_fit_base.o ar: creating ../inst/lib//libStanServices.a installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rstan/00new/rstan/libs ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rstan) * installing *source* package 'bayesplot' ... ** this is package 'bayesplot' version '1.15.0' ** package 'bayesplot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bayesplot) * installing *source* package 'Hmisc' ... ** this is package 'Hmisc' version '5.2-5' ** package 'Hmisc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Hmisc.c -o Hmisc.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cidxcn.f90 -o cidxcn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cidxcp.f90 -o cidxcp.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cutgn.f90 -o cutgn.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hlqest.f90 -o hlqest.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hoeffd.f90 -o hoeffd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c jacklins.f90 -o jacklins.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c largrec.f -o largrec.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mChoice.c -o mChoice.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c maxempr.f90 -o maxempr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nstr.c -o nstr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ranksort.c -o ranksort.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c rcorr.f90 -o rcorr.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c string_box.c -o string_box.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c wclosest.f90 -o wclosest.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Hmisc.so Hmisc.o cidxcn.o cidxcp.o cutgn.o hlqest.o hoeffd.o init.o jacklins.o largrec.o mChoice.o maxempr.o nstr.o ranksort.o rcorr.o string_box.o wclosest.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-Hmisc/00new/Hmisc/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Hmisc) * installing *source* package 'recipes' ... ** this is package 'recipes' version '1.3.1' ** package 'recipes' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (recipes) * installing *source* package 'dbplyr' ... ** this is package 'dbplyr' version '2.5.2' ** package 'dbplyr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dbplyr) * installing *source* package 'broom' ... ** this is package 'broom' version '1.0.12' ** package 'broom' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (broom) * installing *source* package 'cjoint' ... ** this is package 'cjoint' version '2.1.1' ** package 'cjoint' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cjoint) * installing *source* package 'flexsurv' ... ** this is package 'flexsurv' version '2.3.2' ** package 'flexsurv' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c flexsurv-init.c -o flexsurv-init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c genf.cpp -o genf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gengamma.cpp -o gengamma.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gompertz.cpp -o gompertz.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c llogis.cpp -o llogis.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c special.cpp -o special.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c splines.cpp -o splines.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o flexsurv.so RcppExports.o flexsurv-init.o genf.o gengamma.o gompertz.o llogis.o special.o splines.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-flexsurv/00new/flexsurv/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (flexsurv) * installing *source* package 'haven' ... ** this is package 'haven' version '2.5.5' ** package 'haven' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -lz ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tagged_na.c -o tagged_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_parser.c -o readstat/readstat_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_metadata.c -o readstat/readstat_metadata.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_io_unistd.c -o readstat/readstat_io_unistd.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_bits.c -o readstat/readstat_bits.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_variable.c -o readstat/readstat_variable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_writer.c -o readstat/readstat_writer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_error.c -o readstat/readstat_error.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_convert.c -o readstat/readstat_convert.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/CKHashTable.c -o readstat/CKHashTable.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_malloc.c -o readstat/readstat_malloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/readstat_value.c -o readstat/readstat_value.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport_write.c -o readstat/sas/readstat_xport_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bcat_read.c -o readstat/sas/readstat_sas7bcat_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bdat_write.c -o readstat/sas/readstat_sas7bdat_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bcat_write.c -o readstat/sas/readstat_sas7bcat_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/ieee.c -o readstat/sas/ieee.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport_parse_format.c -o readstat/sas/readstat_xport_parse_format.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport_read.c -o readstat/sas/readstat_xport_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas.c -o readstat/sas/readstat_sas.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas_rle.c -o readstat/sas/readstat_sas_rle.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_xport.c -o readstat/sas/readstat_xport.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/sas/readstat_sas7bdat_read.c -o readstat/sas/readstat_sas7bdat_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_compress.c -o readstat/spss/readstat_sav_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_spss_parse.c -o readstat/spss/readstat_spss_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_read.c -o readstat/spss/readstat_sav_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por_read.c -o readstat/spss/readstat_por_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav.c -o readstat/spss/readstat_sav.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_zsav_compress.c -o readstat/spss/readstat_zsav_compress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_parse_timestamp.c -o readstat/spss/readstat_sav_parse_timestamp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_zsav_read.c -o readstat/spss/readstat_zsav_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_write.c -o readstat/spss/readstat_sav_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_spss.c -o readstat/spss/readstat_spss.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_parse_mr_name.c -o readstat/spss/readstat_sav_parse_mr_name.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por.c -o readstat/spss/readstat_por.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por_write.c -o readstat/spss/readstat_por_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_zsav_write.c -o readstat/spss/readstat_zsav_write.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_sav_parse.c -o readstat/spss/readstat_sav_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/spss/readstat_por_parse.c -o readstat/spss/readstat_por_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta_read.c -o readstat/stata/readstat_dta_read.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta.c -o readstat/stata/readstat_dta.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta_parse_timestamp.c -o readstat/stata/readstat_dta_parse_timestamp.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c readstat/stata/readstat_dta_write.c -o readstat/stata/readstat_dta_write.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DfReader.cpp -o DfReader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DfWriter.cpp -o DfWriter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I/home/th798/.conda/envs/emacs1/include -Ireadstat -DHAVE_ZLIB -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c haven_types.cpp -o haven_types.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o haven.so tagged_na.o readstat/readstat_parser.o readstat/readstat_metadata.o readstat/readstat_io_unistd.o readstat/readstat_bits.o readstat/readstat_variable.o readstat/readstat_writer.o readstat/readstat_error.o readstat/readstat_convert.o readstat/CKHashTable.o readstat/readstat_malloc.o readstat/readstat_value.o readstat/sas/readstat_xport_write.o readstat/sas/readstat_sas7bcat_read.o readstat/sas/readstat_sas7bdat_write.o readstat/sas/readstat_sas7bcat_write.o readstat/sas/ieee.o readstat/sas/readstat_xport_parse_format.o readstat/sas/readstat_xport_read.o readstat/sas/readstat_sas.o readstat/sas/readstat_sas_rle.o readstat/sas/readstat_xport.o readstat/sas/readstat_sas7bdat_read.o readstat/spss/readstat_sav_compress.o readstat/spss/readstat_spss_parse.o readstat/spss/readstat_sav_read.o readstat/spss/readstat_por_read.o readstat/spss/readstat_sav.o readstat/spss/readstat_zsav_compress.o readstat/spss/readstat_sav_parse_timestamp.o readstat/spss/readstat_zsav_read.o readstat/spss/readstat_sav_write.o readstat/spss/readstat_spss.o readstat/spss/readstat_sav_parse_mr_name.o readstat/spss/readstat_por.o readstat/spss/readstat_por_write.o readstat/spss/readstat_zsav_write.o readstat/spss/readstat_sav_parse.o readstat/spss/readstat_por_parse.o readstat/stata/readstat_dta_read.o readstat/stata/readstat_dta.o readstat/stata/readstat_dta_parse_timestamp.o readstat/stata/readstat_dta_write.o DfReader.o cpp11.o DfWriter.o haven_types.o -L/home/th798/.conda/envs/emacs1/lib -lz installing to /tmp/th798/27261227/R-release/841/library/00LOCK-haven/00new/haven/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (haven) * installing *source* package 'mlr3verse' ... ** this is package 'mlr3verse' version '0.3.1' ** package 'mlr3verse' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3verse) * installing *source* package 'parsnip' ... ** this is package 'parsnip' version '1.4.1' ** package 'parsnip' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parsnip) * installing *source* package 'rsample' ... ** this is package 'rsample' version '1.3.2' ** package 'rsample' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rsample) * installing *source* package 'mitml' ... ** this is package 'mitml' version '0.4-5' ** package 'mitml' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mitml) * installing *source* package 'shinystan' ... ** this is package 'shinystan' version '2.7.0' ** package 'shinystan' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinystan) * installing *source* package 'infer' ... ** this is package 'infer' version '1.1.0' ** package 'infer' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (infer) * installing *source* package 'modelr' ... ** this is package 'modelr' version '0.1.11' ** package 'modelr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modelr) * installing *source* package 'brms' ... ** this is package 'brms' version '2.23.0' ** package 'brms' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brms) * installing *source* package 'geepack' ... ** this is package 'geepack' version '1.3.13' ** package 'geepack' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c famstr.cc -o famstr.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gee2.cc -o gee2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c geesubs.cc -o geesubs.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inter.cc -o inter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ordgee.cc -o ordgee.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c param.cc -o param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cc -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o geepack.so famstr.o gee2.o geesubs.o init.o inter.o ordgee.o param.o utils.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-geepack/00new/geepack/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geepack) * installing *source* package 'glmtoolbox' ... ** this is package 'glmtoolbox' version '0.1.12' ** package 'glmtoolbox' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmtoolbox) * installing *source* package 'rms' ... ** this is package 'rms' version '8.1-1' ** package 'rms' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c lrmll.f90 -o lrmll.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mlmats.f -o mlmats.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c ormll.f90 -o ormll.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c robcovf.f90 -o robcovf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rms.so init.o lrmll.o mlmats.o ormll.o robcovf.o -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-rms/00new/rms/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rms) * installing *source* package 'workflows' ... ** this is package 'workflows' version '1.3.0' ** package 'workflows' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (workflows) * installing *source* package 'doBy' ... ** this is package 'doBy' version '4.7.1' ** package 'doBy' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context Note: ... may be used in an incorrect context ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (doBy) * installing *source* package 'tune' ... ** this is package 'tune' version '2.0.1' ** package 'tune' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tune) * installing *source* package 'brmsmargins' ... ** this is package 'brmsmargins' version '0.2.1' ** package 'brmsmargins' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integratemvn.cpp -o integratemvn.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integratere.cpp -o integratere.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lmcpp.cpp -o lmcpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rowbootmeans.cpp -o rowbootmeans.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tab2mat.cpp -o tab2mat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brmsmargins.so RcppExports.o integratemvn.o integratere.o lmcpp.o rowbootmeans.o tab2mat.o -fopenmp -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-brmsmargins/00new/brmsmargins/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brmsmargins) * installing *source* package 'mice' ... ** this is package 'mice' version '3.19.0' ** package 'mice' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c legendre.cpp -o legendre.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c match.cpp -o match.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/cpp11/include' -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matchindex.cpp -o matchindex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mice.so RcppExports.o legendre.o match.o matchindex.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mice/00new/mice/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mice) * installing *source* package 'mvgam' ... ** this is package 'mvgam' version '1.1.594' ** package 'mvgam' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DARMA_USE_CURRENT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trend_funs.cpp -o trend_funs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mvgam.so RcppExports.o trend_funs.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-mvgam/00new/mvgam/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvgam) * installing *source* package 'ordbetareg' ... ** this is package 'ordbetareg' version '0.8' ** package 'ordbetareg' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ordbetareg) * installing *source* package 'rstanarm' ... ** this is package 'rstanarm' version '2.32.2' ** package 'rstanarm' successfully unpacked and MD5 sums checked ** using staged installation Error in rstan::stanc(file_name, allow_undefined = TRUE, obfuscate_model_name = FALSE, : parser failed badly; maybe try installing the V8 package Calls: -> sapply -> lapply -> FUN -> Execution halted ERROR: configuration failed for package 'rstanarm' * removing '/tmp/th798/27261227/R-release/841/library/rstanarm' * installing *source* package 'tidyverse' ... ** this is package 'tidyverse' version '2.0.0' ** package 'tidyverse' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyverse) * installing *source* package 'pbkrtest' ... ** this is package 'pbkrtest' version '0.5.5' ** package 'pbkrtest' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbkrtest) * installing *source* package 'workflowsets' ... ** this is package 'workflowsets' version '1.1.1' ** package 'workflowsets' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (workflowsets) * installing *source* package 'logistf' ... ** this is package 'logistf' version '1.26.1' ** package 'logistf' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c logistf.c -o logistf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o logistf.so init.o logistf.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/27261227/R-release/841/library/00LOCK-logistf/00new/logistf/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (logistf) * installing *source* package 'miceadds' ... ** this is package 'miceadds' version '3.18-36' ** package 'miceadds' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_create_interactions.cpp -o miceadds_rcpp_create_interactions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_kernelpls_1dim.cpp -o miceadds_rcpp_kernelpls_1dim.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_ml_mcmc_sampler.cpp -o miceadds_rcpp_ml_mcmc_sampler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_ml_mcmc_sub.cpp -o miceadds_rcpp_ml_mcmc_sub.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_pmm6.cpp -o miceadds_rcpp_pmm6.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_scale.cpp -o miceadds_rcpp_scale.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_weighted_cor.cpp -o miceadds_rcpp_weighted_cor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DBOOST_NO_LONG_LONG -DBOOST_NO_AUTO_PTR -DRCPP_USE_UNWIND_PROTECT -DARMA_USE_CURRENT -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c miceadds_rcpp_weighted_pmm.cpp -o miceadds_rcpp_weighted_pmm.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o miceadds.so RcppExports.o miceadds_rcpp_create_interactions.o miceadds_rcpp_kernelpls_1dim.o miceadds_rcpp_ml_mcmc_sampler.o miceadds_rcpp_ml_mcmc_sub.o miceadds_rcpp_pmm6.o miceadds_rcpp_scale.o miceadds_rcpp_weighted_cor.o miceadds_rcpp_weighted_pmm.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. installing to /tmp/th798/27261227/R-release/841/library/00LOCK-miceadds/00new/miceadds/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (miceadds) * installing *source* package 'probably' ... ** this is package 'probably' version '1.2.0' ** package 'probably' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (probably) * installing *source* package 'car' ... ** this is package 'car' version '3.1-5' ** package 'car' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (car) * installing *source* package 'glmmTMB' ... ** this is package 'glmmTMB' version '1.1.14' ** package 'glmmTMB' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/tmp/th798/27261227/R-release/841/library/TMB/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glmmTMB.cpp -o glmmTMB.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/TMB/include/TMB.hpp:92, from glmmTMB.cpp:13: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:95:71: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:97:69: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:107:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:107:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:108:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Map >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:109:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:111:48: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:65: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:17:8: required from 'struct tmbutils::vector' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vectorize.hpp:54:35: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/27261227/R-release/841/library/TMB/include/convert.hpp:114:24: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:527:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:554:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:22:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:22:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/TMB/include/TMB.hpp:96: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/simplicial_inverse_subset.hpp:7:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:42:26: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:42:56: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:42:64: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:42:70: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:644:38: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 2, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 2>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:644:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:655:34: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:655:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:659:49: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:659:54: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:664:21: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:664:59: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:672:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:680:31: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:680:33: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:699:17: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1226:26: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' distrib.h:40:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' distrib.h:40:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:206:36: required from 'atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' glmmTMB.cpp:912:28: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' glmmTMB.cpp:1221:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' glmmTMB.cpp:1325:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' glmmTMB.cpp:1338:17: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/start_parallel.hpp:375:43: required from 'Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2675:28: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::MatrixWrapper >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/convenience.hpp:49:13: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/convenience.hpp:49:32: required from 'tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:30:21: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:30:27: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:31:47: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:18:23: required from 'atomic::Block atomic::Block::scale(Type) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:242:29: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:25:29: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:36:36: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:55: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:26: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:71: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_convolve.hpp:8:57: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from 'struct Eigen::internal::evaluator, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0> > >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:42:76: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase > >::CastXpr' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/convert.hpp:114:35: required from 'tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]' glmmTMB.cpp:841:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/array.hpp:22:8: required from 'struct tmbutils::array' glmmTMB.cpp:819:17: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::MatrixWrapper >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' cordistrib.h:39:34: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>' cordistrib.h:39:60: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' cordistrib.h:39:66: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:603:56: required from 'void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]' glmmTMB.cpp:1376:4: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:45: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:31: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' glmmTMB.cpp:428:25: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' glmmTMB.cpp:487:48: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' glmmTMB.cpp:487:37: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > > >' glmmTMB.cpp:487:31: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' glmmTMB.cpp:691:23: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' glmmTMB.cpp:748:45: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' glmmTMB.cpp:758:28: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' glmmTMB.cpp:759:52: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' glmmTMB.cpp:760:76: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 0>' glmmTMB.cpp:760:48: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >' glmmTMB.cpp:760:85: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmmTMB.cpp:769:34: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmmTMB.cpp:769:27: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/start_parallel.hpp:374:16: required from 'Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2675:28: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:24:20: required from 'atomic::Block atomic::Block::addIdentity() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:245:45: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' glmmTMB.cpp:834:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:10:7: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:10:13: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:11:48: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/tmbutils_extra.hpp:11:37: required from 'tmbutils::vector tmbutils::dnorm(vector, T1, T2, int) [with Type = double; T1 = double; T2 = int]' glmmTMB.cpp:703:19: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:21:17: required from 'Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1332:64: required from 'Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1555:25: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/spmat.hpp:24:22: required from 'Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]' glmmTMB.cpp:834:3: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:146:21: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/array.hpp:302:3: required from 'tmbutils::array tmbutils::array::operator/(T) [with T = tmbutils::vector; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:1030:23: required from 'density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(arraytype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; arraytype = tmbutils::array]' glmmTMB.cpp:416:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double; Eigen::Index = long int]' glmmTMB.cpp:452:37: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/array.hpp:302:3: required from 'tmbutils::array tmbutils::array::operator/(T) [with T = double; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:970:23: required from 'density::SCALE_t::scalartype density::SCALE_t::operator()(arraytype) [with distribution = density::MVNORM_t; scalartype = double; arraytype = tmbutils::array]' glmmTMB.cpp:686:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from 'Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:21:17: required from 'Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1332:64: required from 'Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1555:25: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' distrib.h:300:66: required from 'Type glmmtmb::rtweedie(Type, Type, Type) [with Type = double]' glmmTMB.cpp:1135:38: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, member_sum, 1> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from 'Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1351:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from 'void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from 'Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1351:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_log_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:148:28: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:330: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from 'void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from 'void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from 'Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:153:37: required from 'density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:157:53: required from 'density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:1030:21: required from 'density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(arraytype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; arraytype = tmbutils::array]' glmmTMB.cpp:416:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; Type = double]' glmmTMB.cpp:748:22: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]' cordistrib.h:39:72: required from 'Type glmmtmb::dlkj(const tmbutils::vector&, Type, int) [with Type = double]' glmmTMB.cpp:1223:23: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:527:1: required from 'CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:527:1: required from 'CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:31:20: required from 'Type atomic::Block::norm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:237:37: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:18:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:146:9: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:146:9: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, const Eigen::Block > >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, const Eigen::Block > >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, const Eigen::Block > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl > >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Transpose > >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, 1, -1, true>, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, false>, Eigen::Map >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:337: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:276:16: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from 'void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:146:9: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:220:18: required from 'Derived& Eigen::ArrayBase::operator/=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Derived = Eigen::ArrayWrapper >]' glmmTMB.cpp:760:27: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:24:22: required from 'tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/convenience.hpp:43:12: required from 'tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]' glmmTMB.cpp:914:13: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Map >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:166: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:56:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:78: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:82:41: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:89:20: required from 'atomic::Block atomic::Block::absm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:446:18: required from 'matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:449:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:145:63: required from 'void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:283:19: required from 'density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:413:40: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose > >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'void density::MVNORM_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/density.hpp:191:3: required from 'density::MVNORM_t::vectortype density::MVNORM_t::simulate() [with scalartype_ = double; vectortype = tmbutils::vector]' glmmTMB.cpp:428:42: required from 'Type termwise_nll(tmbutils::array&, tmbutils::vector, per_term_info&, bool) [with Type = double]' glmmTMB.cpp:821:24: required from 'Type allterms_nll(tmbutils::vector&, tmbutils::vector, tmbutils::vector >&, bool) [with Type = double]' glmmTMB.cpp:901:39: required from 'Type objective_function::operator()() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmb_core.hpp:2035:7: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:171:27: required from 'void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2544:17: required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/ad_blas.hpp:79:58: required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/TMBad.cpp:14:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:662:16: required from 'Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1370:24: required from 'Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1452:27: required from 'Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1570:23: required from 'Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1600:18: required from 'ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1608:63: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:50:20: required from 'atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:167:32: required from 'atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:81:14: required from 'atomic::Block atomic::Block::sqrtm() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:375:19: required from 'matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:378:53: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/vector.hpp:106:22: required from 'tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:36:14: required from 'atomic::Block atomic::Block::inverse() [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:257:33: required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]' /tmp/th798/27261227/R-release/841/library/TMB/include/expm.hpp:269:52: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 4>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:554:1: required from 'void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:554:1: required from 'void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' distrib.h:40:3: required from 'void glmmtmb::logspace_gammaOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1171:20: required from 'void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:497:1: required from 'CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:527:1: required from 'void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:85:17: required from 'newton::vector::vector(const std::vector&) [with Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1154:20: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:11: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:171:40: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1059:51: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:733:15: required from 'newton::vector newton::jacobian_sparse_plus_lowrank_t::solve(std::shared_ptr >, const newton::vector&, const newton::vector&) [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1171:38: required from 'void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/simplicial_inverse_subset.hpp:152:11: required from 'Eigen::SimplicialInverseSubset::SpMat Eigen::SimplicialInverseSubset::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1293:18: required from 'void newton::LogDetOperator::reverse(TMBad::ReverseArgs&) [with Factorization = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::LogDetOperator<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:277:22: required from 'newton::matrix newton::jacobian_dense_t::llt_solve(const newton::matrix&, const newton::matrix&) [with Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:628:38: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:629:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:629:36: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 2> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 2> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:644:46: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:645:26: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:656:32: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:664:57: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Inverse >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Inverse >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:674:40: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, const Eigen::Inverse >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse, const Eigen::Inverse >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:674:51: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:675:67: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:676:57: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:38: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:56: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:72: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:50: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:34: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:629:36: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Matrix, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:549:37: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:549:40: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:549:66: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:550:36: required from 'T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 4>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' distrib.h:40:3: required from 'void glmmtmb::logspace_gammaOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' distrib.h:40:3: required from 'void glmmtmb::logspace_gammaOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1037:36: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Matrix > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:383:22: required from 'newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:173:51: required from 'newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:191:33: required from 'void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, -1, 1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, -1, 1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, member_sum, 1>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:127:24: required from 'typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1061:30: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = add_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:673:28: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:695:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, 1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:644:7: required from 'void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1073:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:497:1: required from 'CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:527:1: required from 'void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:497:1: required from 'CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/atomic_math.hpp:527:1: required from 'void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:698:27: required from 'newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1081:33: required from 'const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:1155:5: required from 'void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1758:28: required from 'void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:57: required from 'void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2154:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:78:1: required from 'void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:78:1: required from 'void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:263:57: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose > >, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:263:35: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:263:67: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:78:1: required from 'void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:94:54: required from 'newton::matrix::matrix(const Eigen::ArrayBase&) [with Derived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Type = double]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:263:15: required from 'newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]' /tmp/th798/27261227/R-release/841/library/TMB/include/tmbutils/newton.hpp:204:45: required from 'void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]' /tmp/th798/27261227/R-release/841/library/TMB/include/tiny_ad/atomic.hpp:30:1: required from 'void atomic::bessel_kOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:1762:28: required from 'void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:57: required from 'void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]' /tmp/th798/27261227/R-release/841/library/TMB/include/TMBad/global.hpp:2155:10: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/tmp/th798/27261227/R-release/841/library/TMB/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cpp -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glmmTMB.so glmmTMB.o utils.o -fopenmp installing to /tmp/th798/27261227/R-release/841/library/00LOCK-glmmTMB/00new/glmmTMB/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmmTMB) * installing *source* package 'tidymodels' ... ** this is package 'tidymodels' version '1.4.1' ** package 'tidymodels' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidymodels) * installing *source* package 'AER' ... ** this is package 'AER' version '1.2-16' ** package 'AER' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (AER) * installing *source* package 'afex' ... ** this is package 'afex' version '1.5-1' ** package 'afex' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (afex) * installing *source* package 'ivreg' ... ** this is package 'ivreg' version '0.6-7' ** package 'ivreg' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ivreg) * installing *source* package 'systemfit' ... ** this is package 'systemfit' version '1.1-30' ** package 'systemfit' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (systemfit) * installing *source* package 'REndo' ... ** this is package 'REndo' version '2.4.10' ** package 'REndo' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/tmp/th798/27261227/R-release/841/library/Rcpp/include' -I'/tmp/th798/27261227/R-release/841/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c f_copulacorrection_LL_rcpp.cpp -o f_copulacorrection_LL_rcpp.o In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigen.h:25, from f_copulacorrection_LL_rcpp.cpp:1: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:34:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:34:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:34:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:35:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' f_copulacorrection_LL_rcpp.cpp:35:37: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map >, 0> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 7>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map >, 0>' f_copulacorrection_LL_rcpp.cpp:38:43: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Map >; Derived = Eigen::internal::generic_product_impl >, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/27261227/R-release/841/library/RcppEigen/include/RcppEigenWrap.h:110:39: required from 'SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' /tmp/th798/27261227/R-release/841/library/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]' f_copulacorrection_LL_rcpp.cpp:38:40: required from here /tmp/th798/27261227/R-release/841/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o REndo.so RcppExports.o f_copulacorrection_LL_rcpp.o installing to /tmp/th798/27261227/R-release/841/library/00LOCK-REndo/00new/REndo/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (REndo) * installing *source* package 'sampleSelection' ... ** this is package 'sampleSelection' version '1.2-14' ** package 'sampleSelection' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sampleSelection) Warning messages: 1: In install.packages(rev.dep, dep = TRUE) : installation of package 'interval' had non-zero exit status 2: In install.packages(rev.dep, dep = TRUE) : installation of package 'DCchoice' had non-zero exit status 3: In install.packages(rev.dep, dep = TRUE) : installation of package 'arrow' had non-zero exit status 4: In install.packages(rev.dep, dep = TRUE) : installation of package 'rstanarm' had non-zero exit status > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 7970.445 580.056 8700.428 > print(Sys.time()) [1] "2026-03-10 06:24:32 MST" > (pkg_Version.tar.gz <- paste0(rev.dep,"_", deps.row[,"Version"], ".tar.gz")) [1] "marginaleffects_0.32.0.tar.gz" > (pkg.tar.gz <- file.path(local.CRAN, "src", "contrib", pkg_Version.tar.gz)) [1] "/projects/genomic-ml/CRAN/src/contrib/marginaleffects_0.32.0.tar.gz" > (rev.dep.release.tar.gz <- normalizePath(pkg.tar.gz, mustWork=TRUE)) [1] "/projects/genomic-ml/CRAN/src/contrib/marginaleffects_0.32.0.tar.gz" > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2026-03-10 06:24:32 MST" Installing package into '/tmp/th798/27261227/R-release/841/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.2.1' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/27261227/R-release/841/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-03-10 06:24:56 MST" * using log directory '/tmp/th798/27261227/R-release/841/marginaleffects.Rcheck' * using R version 4.5.2 (2025-10-31) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'marginaleffects/DESCRIPTION' ... OK * this is package 'marginaleffects' version '0.32.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... INFO Packages suggested but not available for checking: 'arrow', 'DCchoice', 'rstanarm' * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'marginaleffects' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed hypotheses 5.647 0.109 5.806 * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'spelling.R' Running 'tinytest.R' OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-03-10 06:26:30 MST" [1] "2026-03-10 06:26:30 MST" Installing package into '/tmp/th798/27261227/R-release/841/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/27261227/R-release/841/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-03-10 06:26:53 MST" * using log directory '/tmp/th798/27261227/R-release/841/marginaleffects.Rcheck' * using R version 4.5.2 (2025-10-31) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'marginaleffects/DESCRIPTION' ... OK * this is package 'marginaleffects' version '0.32.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... INFO Packages suggested but not available for checking: 'arrow', 'DCchoice', 'rstanarm' * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'marginaleffects' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed hypotheses 5.566 0.103 5.714 * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'spelling.R' Running 'tinytest.R' OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-03-10 06:28:26 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_version_4.5.2_2025-10-31/release_1.18.2.1.Rcheck/00check.log 2026-03-10 06:26:30.262857943 -0700 +++ R_version_4.5.2_2025-10-31/master_1.18.99.82799044ec710cafd89267042ded8b39d6ced265.Rcheck/00check.log 2026-03-10 06:28:26.942620878 -0700 @@ -55,7 +55,7 @@ * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed -hypotheses 5.647 0.109 5.806 +hypotheses 5.566 0.103 5.714 * checking for unstated dependencies in 'tests' ... OK * checking tests ... OK Running 'spelling.R' > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + unlink(dt.git, recursive=TRUE, force=TRUE) + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } >